From 1641ea77e62262d37e5c4d80d736a65f0da55d87 Mon Sep 17 00:00:00 2001 From: Cameron Riddell Date: Thu, 30 May 2024 15:03:09 -0700 Subject: [PATCH 1/2] move deps into environment.yml --- binder/environment.yml | 9 +++++++++ requirements.txt | 2 -- 2 files changed, 9 insertions(+), 2 deletions(-) create mode 100644 binder/environment.yml delete mode 100644 requirements.txt diff --git a/binder/environment.yml b/binder/environment.yml new file mode 100644 index 0000000..700a0aa --- /dev/null +++ b/binder/environment.yml @@ -0,0 +1,9 @@ +channels: + - conda-forge + - defaults +dependencies: + - python=3.7 + - econ-ark=0.10.7 + - PyYAML=5.4 + - ipython + - pandas=1.3.* diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index 8d3a469..0000000 --- a/requirements.txt +++ /dev/null @@ -1,2 +0,0 @@ -econ-ark==0.10.7 -PyYAML==5.4 From e8cb9973d2f99cc2c42ce4b7ff416d8d406f1104 Mon Sep 17 00:00:00 2001 From: Cameron Riddell Date: Thu, 30 May 2024 16:08:34 -0700 Subject: [PATCH 2/2] this repo was once a part of https://github.com/econ-ark/CGMPortfolio/tree/master/Code to turn it into a standalone REMARK code from that repository had to be copied over. --- Code/Fortran/Combined Fortran data.xlsx | Bin 0 -> 1620554 bytes Code/Fortran/Compile data/01 Compile data.do | 70 + Code/Fortran/Run Fortran.ftn95p | 797 +++++++++++ Code/Fortran/Run Fortran.ini | 21 + Code/Fortran/link.lst | 8 + Code/Fortran/year01.txt | 1203 +++++++++++++++++ Code/Fortran/year02.txt | 1203 +++++++++++++++++ Code/Fortran/year03.txt | 1203 +++++++++++++++++ Code/Fortran/year04.txt | 1203 +++++++++++++++++ Code/Fortran/year05.txt | 1203 +++++++++++++++++ Code/Fortran/year06.txt | 1203 +++++++++++++++++ Code/Fortran/year07.txt | 1203 +++++++++++++++++ Code/Fortran/year08.txt | 1203 +++++++++++++++++ Code/Fortran/year09.txt | 1203 +++++++++++++++++ Code/Fortran/year10.txt | 1203 +++++++++++++++++ Code/Fortran/year11.txt | 1203 +++++++++++++++++ Code/Fortran/year12.txt | 1203 +++++++++++++++++ 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216 +++ reproduce.sh | 7 +- cgm_configurator.py => run.py | 87 +- 102 files changed, 99927 insertions(+), 83 deletions(-) create mode 100644 Code/Fortran/Combined Fortran data.xlsx create mode 100644 Code/Fortran/Compile data/01 Compile data.do create mode 100644 Code/Fortran/Run Fortran.ftn95p create mode 100644 Code/Fortran/Run Fortran.ini create mode 100644 Code/Fortran/link.lst create mode 100644 Code/Fortran/year01.txt create mode 100644 Code/Fortran/year02.txt create mode 100644 Code/Fortran/year03.txt create mode 100644 Code/Fortran/year04.txt create mode 100644 Code/Fortran/year05.txt create mode 100644 Code/Fortran/year06.txt create mode 100644 Code/Fortran/year07.txt create mode 100644 Code/Fortran/year08.txt create mode 100644 Code/Fortran/year09.txt create mode 100644 Code/Fortran/year10.txt create mode 100644 Code/Fortran/year11.txt create mode 100644 Code/Fortran/year12.txt create mode 100644 Code/Fortran/year13.txt create mode 100644 Code/Fortran/year14.txt create mode 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data.do @@ -0,0 +1,70 @@ + +******************************* +** Privileged & Confidential ** +******************************* +clear +capture log close +set more off +set type double + +global scripts = c(pwd) +global scripts = subinstr("$scripts","\","/",.) +global path "$scripts/.." + +*** +forval year=1/80{ + + if `year' < 10 import delimited using "$path/year0`year'.txt", clear + if `year' >= 10 import delimited using "$path/year`year'.txt", clear + + di "Importing `year'" + assert _N == 1203 + + * Match observations + gen obs = _n + replace obs = obs - (1203/3) if obs > (1203/3) + replace obs = obs - (1203/3) if obs > (1203/3) + + * Seperate variables + gen var = "" + replace var = "RiskyShare" if _n <= (1203/3) + replace var = "Consumption" if _n > (1203/3) & _n <= (1203/3)*2 + replace var = "Value" if mi(var) + + * Reshape + reshape wide v1, i(obs) j(var) str + ds obs, not + foreach var in `r(varlist)'{ + local newname = subinstr("`var'","v1","",.) + ren `var' `newname' + } + + * Agent cash + ren obs Cash + replace Cash = Cash - 1 + + * Agents age + gen Age = `year' + 20 + + save "$scripts/`year'.dta", replace + +} + + +* Combine +clear +forval year=1/80{ + append using "$scripts/`year'.dta" +} + +* Clean up +forval year=1/80{ + erase "$scripts/`year'.dta" +} + +* Output +order Age Cash RiskyShare Consumption Value +export excel using "$path/Combined Fortran data.xlsx", sheet("r.Data") firstrow(variables) sheetreplace + + +* EOF \ No newline at end of file diff --git a/Code/Fortran/Run Fortran.ftn95p b/Code/Fortran/Run Fortran.ftn95p new file mode 100644 index 0000000..c59740f --- /dev/null +++ b/Code/Fortran/Run Fortran.ftn95p @@ -0,0 +1,797 @@ +"General" +{ +"ProjectIdGuid" = "" +"CurrentConfig" = "CheckMate|x64" +"SupportsFolders" = "Yes" +} +"Configurations" +{ + "Release|Win32" + { + "Windows" = "No" + "Map" = "" + "Silent" = "No" + "Base" = "" + "Exportall" = "No" + "Heap" = "" + "Extras" = "" + "VirtualCommon" = "" + "NoLink" = "No" + "DebugInfo" = 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mode 100644 index 0000000..e0275a1 --- /dev/null +++ b/Code/Python/Appendix/MPCLimit.py @@ -0,0 +1,117 @@ +# This file compares the solution obtained by HARK with the theoretical +# result in +# http://www.econ2.jhu.edu/people/ccarroll/public/LectureNotes/Consumption/CRRA-RateRisk.pdf + +import HARK.ConsumptionSaving.ConsPortfolioModel as cpm +import matplotlib.pyplot as plt +import numpy as np + +from copy import copy + +# %% Set up figure path +import sys,os + +# Determine if this is being run as a standalone script +if __name__ == '__main__': + # Running as a script + my_file_path = os.path.abspath("../") +else: + # Running from do_ALL + my_file_path = os.path.dirname(os.path.abspath("do_ALL.py")) + my_file_path = os.path.join(my_file_path,"Code/Python/") + +FigPath = os.path.join(my_file_path,"Figures/") + +# %% Import calibration +# Import parameters from external file +sys.path.append(my_file_path) +# Loading the parameters from the ../Code/Calibration/params.py script +from Calibration.params import dict_portfolio, time_params + +# %% Setup + +# Adjust certain parameters to get the Merton-Samuelson result + +# Make new dictionary +mpc_dict = copy(dict_portfolio) + +# Make riskless return factor very low so that nobody invests in it. +mpc_dict['Rfree'] = 0.01 +# Make the agent less risk averse +mpc_dict['CRRA'] = 2 +# Do away with probability of death +mpc_dict['LivPrb'] = [1]*dict_portfolio['T_cycle'] + +# Risky returns +mu = 0.05 +std = 0.1 + +mpc_dict['RiskyAvg'] = mpc_dict['Rfree'] + mu +mpc_dict['RiskyStd'] = std + +agent = cpm.PortfolioConsumerType(**mpc_dict) +agent.cylces = 0 +agent.solve() + +# %% Compute the theoretical MPC (for when there is no labor income) + +# First extract some parameter values that will be used +crra = agent.CRRA +sigma_r = std +goth_r = mu + sigma_r**2/2 +beta = agent.DiscFac + +# Compute E[Return factor ^(1-rho)] +E_R_exp = np.exp( (1-crra)*goth_r - crra*(1-crra)*sigma_r**2/2 ) + +# And the theoretical MPC +MPC_lim = 1 - (beta*E_R_exp)**(1/crra) + +# %% Compute the actual MPC from the solution + +# We will approximate the MPC as MPC(m_t) = c(m_t + 1) - c(m_t) + +# Set up the assets at which it will be evaluated +mMin = 000 # Minimum ratio of assets to income to plot +mMax = 500 # Maximum ratio of assets to income to plot +mPts = 1000 # Number of points to plot + +eevalgrid = np.linspace(mMin,mMax,mPts) + +# Ages at which the plots will be generated +# this should be something like this instead of hard coding +# ages = age_plot_params +# maybe we could make this something like +t_start = time_params['Age_born'] +t_end = time_params['Age_death'] +ages = [t_start, int((t_end - t_start)*0.75), t_end - 1, t_end] +# ages = [20,75,99,100] + +# Plot our approximation at every age +plt.figure() +age_born = time_params['Age_born'] + +for a in ages: + index = a - age_born + MPC_approx = agent.solution[index].cFuncAdj(eevalgrid + 1) - \ + agent.solution[index].cFuncAdj(eevalgrid) + + plt.plot(eevalgrid, + MPC_approx, + label = 'Age = %i' %(a)) + +plt.axhline(MPC_lim, c = 'k',ls='--', label = 'Merton Samuelson' ) +plt.legend() +plt.title('MPC approximation: $c(m+1) - c(m)$') +plt.xlabel('Market Resources $m$') + +# Save figure +figname = 'MPC_Limit' +plt.savefig(os.path.join(FigPath, figname + '.png')) +plt.savefig(os.path.join(FigPath, figname + '.jpg')) +plt.savefig(os.path.join(FigPath, figname + '.pdf')) +plt.savefig(os.path.join(FigPath, figname + '.svg')) + +plt.ioff() +plt.draw() +plt.pause(1) diff --git a/Code/Python/Appendix/PF_analytical_sol.py b/Code/Python/Appendix/PF_analytical_sol.py new file mode 100644 index 0000000..0b8e38c --- /dev/null +++ b/Code/Python/Appendix/PF_analytical_sol.py @@ -0,0 +1,174 @@ +# -*- coding: utf-8 -*- +""" +Created on Sun Nov 17 09:31:45 2019 + +@author: Matt +""" + +import HARK.ConsumptionSaving.ConsPortfolioModel as cpm +import HARK.ConsumptionSaving.ConsIndShockModel as cis +from HARK.utilities import plotFuncs +import matplotlib.pyplot as plt +import numpy as np +from copy import copy + +# %% Set up figure path +import sys,os + +# Determine if this is being run as a standalone script +if __name__ == '__main__': + # Running as a script + my_file_path = os.path.abspath("../") +else: + # Running from do_ALL + my_file_path = os.path.dirname(os.path.abspath("do_ALL.py")) + my_file_path = os.path.join(my_file_path,"Code/Python/") + +FigPath = os.path.join(my_file_path,"Figures/") + +# %% Import calibration +# Import parameters from external file +sys.path.append(my_file_path) +# Loading the parameters from the ../Code/Calibration/params.py script +from Calibration.params import dict_portfolio, time_params + +# %% Adjust parameters for portfolio tool + +# Create a new calibration dictionary +pf_dict = copy(dict_portfolio) + +# Make the risky asset very bad. Strictly worse than the risk-free asset +pf_dict['RiskyAvg'] = 0.8 +pf_dict['RiskyStd'] = 0.0 + +t_cycle = pf_dict['T_cycle'] +# No income shocks +pf_dict['PermShkStd'] = [0]*t_cycle +pf_dict['TranShkStd'] = [0]*t_cycle + + +# Make agent live for sure until the terminal period +pf_dict['T_retire'] = t_cycle +pf_dict['LivPrb'] = [1]*t_cycle + +# Shut down income growth +pf_dict['PermGroFac'] = [1]*t_cycle + +# Decrease grid for speed +pf_dict['aXtraCount'] = 100 + +# %% Create both agents +port_agent = cpm.PortfolioConsumerType(**pf_dict) +port_agent.solve() + +pf_agent = cis.PerfForesightConsumerType(**pf_dict) +pf_agent.solve() + +# %% Construct the analytical solution + +rho = pf_dict['CRRA'] +R = pf_dict['Rfree'] +Beta = pf_dict['DiscFac'] +T = pf_dict['T_cycle'] + 1 + +thorn_r = (R*Beta)**(1/rho)/R + +ht = lambda t: (1 - (1/R)**(T-t+1))/(1-1/R) - 1 +kappa = lambda t: (1 - thorn_r)/(1 - thorn_r**(T-t+1)) + +true_cFunc = lambda t,m: np.minimum(m, kappa(t)*(m + ht(t))) +# %% Plot comparisons + +# Graphing values +aMin = 0 # Minimum ratio of assets to income to plot +aMax = 10 # Maximum ratio of assets to income to plot +aPts = 100 # Number of points to plot +agrid = np.linspace(aMin,aMax,aPts) # range of values of assets for the plot + +# ages list should be a function of time_params instead of hard coded values +# ages = [97,98,99,100] +# ages = [55,99,100] +age_death = time_params['Age_death'] +age_born = time_params['Age_born'] +ages = [(age_born + age_death)//2, age_death - 1, age_death] + +# Consumption Comparison -- Levels +fig, axs = plt.subplots(1, len(ages)) +fig.suptitle('Consumption Comparisons by Age (Levels)') + +for i in range(len(ages)): + + age = ages[i] + + # Portfolio + axs[i].plot(agrid, port_agent.solution[age-age_born].cFuncAdj(agrid), + label = 'PortfolioConsumerType') + # Perfect foresight + axs[i].plot(agrid, pf_agent.solution[age-age_born].cFunc(agrid), + label = 'PerfForesightConsumerType') + # True + axs[i].plot(agrid, true_cFunc(age-age_born + 1, agrid), + label = 'True') + + # Label + axs[i].set_title('Age = ' + str(age)) + + axs[i].grid() + +handles, labels = axs[-1].get_legend_handles_labels() +fig.legend(handles, labels, loc='lower center', ncol = 3) + +fig.tight_layout(rect=[0, 0.1, 1, 0.95]) +fig.subplots_adjust(wspace=0.5) + +for ax in axs.flat: + ax.set(xlabel='M', ylabel='C') + +# Save figure +figname = 'PF_Compare_Lvl' +plt.savefig(os.path.join(FigPath, figname + '.png')) +plt.savefig(os.path.join(FigPath, figname + '.jpg')) +plt.savefig(os.path.join(FigPath, figname + '.pdf')) +plt.savefig(os.path.join(FigPath, figname + '.svg')) + +plt.ioff() +plt.draw() +plt.pause(1) + +# %% Differences plots + +# Consumption Comparison Differences +fig, axs = plt.subplots(1, 2) +for a in ages: + + cPort = port_agent.solution[a-age_born].cFuncAdj(agrid) + cPF = pf_agent.solution[a-age_born].cFunc(agrid) + c_true = true_cFunc(a-age_born + 1, agrid ) + + axs[0].plot(agrid, cPort-c_true, label = 'Age = %i' %(a)) + axs[0].grid() + + axs[1].plot(agrid, cPF-c_true, label = 'Age = %i' %(a)) + axs[1].grid() + +axs[0].set_title('PortfolioConsumerType', y = 1.05) +axs[1].set_title('PerfForesightConsumerType', y = 1.05) + +plt.legend() +fig.suptitle('Consumption Comparisons with True Solution') + +for ax in axs.flat: + ax.set(xlabel='M', ylabel='Model C - Analytical C') + +fig.tight_layout(rect=[0, 0.05, 1, 0.95]) + +# Save figure +figname = 'PF_Compare_Diff' +plt.savefig(os.path.join(FigPath, figname + '.png')) +plt.savefig(os.path.join(FigPath, figname + '.jpg')) +plt.savefig(os.path.join(FigPath, figname + '.pdf')) +plt.savefig(os.path.join(FigPath, figname + '.svg')) + +plt.ioff() +plt.draw() +plt.pause(1) diff --git a/Code/Python/CGMPortfolio.ipynb b/Code/Python/CGMPortfolio.ipynb new file mode 100644 index 0000000..da61104 --- /dev/null +++ b/Code/Python/CGMPortfolio.ipynb @@ -0,0 +1,791 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + " # Cocco, Gomes, & Maenhout (2005)\n", + "\n", + " # \"[Consumption and Portfolio Choice Over the Life Cycle](https://academic.oup.com/rfs/article-abstract/18/2/491/1599892)\"\n", + "\n", + " - Notebook created by [Mateo Velásquez-Giraldo](https://github.com/Mv77) and [Matthew Zahn](https://sites.google.com/view/matthew-v-zahn/matthew-v-zahn).\n", + "\n", + "This notebook uses the [Econ-ARK/HARK](https://github.com/econ-ark/hark) toolkit to describe the main results and reproduce the figures in the linked paper. The main HARK tool used here is the $\\texttt{PortfolioConsumerType}$ class. For an introduction to this module, see the [HARK's Documentation](https://hark.readthedocs.io/en/latest/).\n", + "\n", + "Our results using the HARK toolkit resemble those of the original paper, but we have not been able to replicate its results exactly for reasons that we have not been able to track down. We suspect there might be subtleties in the normalization or calibration that we have missed and that could be causing the discrepancies. We would be thankful if a reader (or the original authors) were able to discover the reason for the discrepancies, and could issue a pull request for a revision that reconciles them.\n", + "\n", + "We thank Chris Carroll and Sylvain Catherine for comments and guidance." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# This cell does some preliminary set up\n", + "\n", + "# Packages\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "# Import relevenat HARK tools\n", + "import HARK.ConsumptionSaving.ConsPortfolioModel as cpm\n", + "\n", + "# This is a jupytext paired notebook that autogenerates BufferStockTheory.py\n", + "# which can be executed from a terminal command line via \"ipython BufferStockTheory.py\"\n", + "# But a terminal does not permit inline figures, so we need to test jupyter vs terminal\n", + "# Google \"how can I check if code is executed in the ipython notebook\"\n", + "from IPython import get_ipython # In case it was run from python instead of ipython\n", + "\n", + "# If the ipython process contains 'terminal' assume not in a notebook\n", + "def in_ipynb():\n", + " try:\n", + " if 'terminal' in str(type(get_ipython())):\n", + " return False\n", + " else:\n", + " return True\n", + " except NameError:\n", + " return False\n", + " \n", + "# Determine whether to make the figures inline (for spyder or jupyter)\n", + "# vs whatever is the automatic setting that will apply if run from the terminal\n", + "if in_ipynb():\n", + " # %matplotlib inline generates a syntax error when run from the shell\n", + " # so do this instead\n", + " get_ipython().run_line_magic('matplotlib', 'inline')\n", + "else:\n", + " get_ipython().run_line_magic('matplotlib', 'auto')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### The base model\n", + "\n", + "The authors' aim is to represent the life cycle of a consumer that is exposed to uninsurable labor income risk and how he chooses to allocate his savings between a risky and a safe asset, without the possibility to borrow or short-sell.\n", + "\n", + "##### Dynamic problem\n", + "\n", + "The problem of an agent $i$ of age $t$ in the base model is recursively represented as\n", + "\n", + "\\begin{split}\n", + "V_{i,t} =& \\max_{0\\leq C_{i,t} \\leq X_{i,t}, \\alpha_{i,t}\\in[0,1]} U(C_{i,t}) + \\delta p_t E_t\\{ V_{i,t+1} (X_{i,t+1}) \\}\\\\\n", + "&\\text{s.t}\\\\\n", + "&X_{i,t+1} = Y_{i,t+1} + (X_{i,t} - C_{i,t})(\\alpha_{i,t} R_{t+1} + (1-\\alpha_{i,t})\\bar{R}_f)\n", + "\\end{split}\n", + "\n", + "where $C_{i,t}$ is consumption, $\\alpha_{i,t}$ is the share of savings allocated to the risky asset, $Y_{i,t}$ is labor income, and $X_{i,t}$ represents wealth. The utility function $U(\\cdot)$ is assumed to be CRRA in the base model. Extensions beyond the baseline model include an additively separable bequest motive in the utility function. The discount factor is $\\delta$ and $p_t$ is the probability of survival from $t$ to $t+1$. Death is certain at a maximum period $T$.\n", + "\n", + "Note that the consumer cannot borrow or short-sell.\n", + "\n", + "The control variables in the problem are $\\{C_{it}, \\alpha_{it}\\}^T_{t=1}$ and the state variables are $\\{t, X_{it}, v_{it} \\}^T_{t=1}$. The agent solves for policy rules as a function of the state variables—$C_{it}(X_{it}, v_{it})$ and $\\alpha_{it}(X_{it}, v_{it})$.\n", + "\n", + "#### Labor income\n", + "\n", + "An important driver of the paper's results is the labor income process. It is specified as follows:\n", + "\n", + "\\begin{equation}\n", + "\\log Y_{i,t} = f(t,Z_{i,t}) + v_{i,t} + \\epsilon_{i,t}, \\quad \\text{for } t\\leq K.\n", + "\\end{equation}\n", + "\n", + "where $K$ is the (exogenous) age of retirement, $Z_{i,t}$ are demographic characteristics, $\\epsilon_{i,t}\\sim \\mathcal{N}(0,\\sigma^2_\\epsilon)$ is a transitory shock, and $v_{i,t}$ is a permanent component following a random walk\n", + "\n", + "\\begin{equation}\n", + "v_{i,t} = v_{i,t-1} + u_{i,t} = v_{i,t-1} + \\xi_t + \\omega_{i,t}\n", + "\\end{equation}\n", + "\n", + "in which the innovation is decomposed into an aggregate ($\\xi_t$) and an idiosyncratic component ($\\omega_{i,t}$), both following mean-0 normal distributions.\n", + "\n", + "Post-retirement income is a constant fraction $\\lambda$ of permanent income in the last working year $K$.\n", + "\n", + "A crucial aspect of the labor income process is that $f(\\cdot,\\cdot)$ is calibrated to match income profiles in the PSID, capturing the usual humped shape of income across lifetime.\n", + "\n", + "#### Matching labor income in HARK\n", + "\n", + "In HARK's consumption-saving models, the income process takes the form\n", + "\\begin{equation}\n", + " \\ln Y_t = \\ln P_t + \\ln \\theta_t\n", + "\\end{equation}\n", + "where $P_t$ represents permanent income and $\\ln \\theta_t \\sim N(0,\\sigma_\\theta)$ transitory shocks to income. Permanent income evolves according to\n", + "\\begin{equation}\n", + " \\ln P_{t+1} = \\ln \\Gamma_{t+1} + \\ln \\psi_{t+1} + \\ln P_t\n", + "\\end{equation}\n", + "where $\\Gamma_{t+1}$ is a deterministic growth factor, and $\\ln \\psi_{t+1} \\sim N(0,\\sigma_\\psi)$ a permanent income shock. \n", + "\n", + "\n", + "To represent the author's assumptions in HARK, we express both income processes as sums of deterministic components and i.i.d shocks\n", + "\\begin{align}\n", + "\\text{Cocco et. al} &\\quad& \\ln Y_{i,t} &=& f(t,Z_{i,t}) + v_{i,0} &+&\\sum_{k=1}^t u_{i,k} &+&\\qquad \\varepsilon_{i,t} \\\\\n", + "\\text{HARK} &\\quad& \\ln Y_{i,t} &=& \\ln P_{i,0} + \\sum_{k=1}^t \\ln \\Gamma_k &+&\\sum_{k=1}^t \\ln \\psi_{i,k} &+& \\qquad \\ln \\theta_{i,t}.\n", + "\\end{align}\n", + "\n", + "These representations make evident the mapping that we use\n", + "\n", + "|HARK | Cocco et. al |\n", + "| :---: | :-----------: |\n", + "| $\\ln$ $P_{i,0}$ | $f(0,Z_{i,0})$ + $v_{i,0}$ |\n", + "| $\\ln$ $\\Gamma_{t+1}$| $f(t+1$, $Z_{i,t+1})$ - $f(t,Z_{i,t})$|\n", + "|$\\ln$ $\\psi_{i,k}$| $u_{i,k}$|\n", + "|$\\ln$ $\\theta_{i,t}$| $\\varepsilon_{i,t}$|\n", + "\n", + "and to achieve a retirement income that is equal to a fraction $\\lambda$ of permanent income in the last working period $K$, we simply make $\\Gamma_{K+1} = \\lambda$ and $\\Gamma_{t} = 1$ $\\forall t>K+1$.\n", + "\n", + "#### Assets and their returns\n", + "\n", + "There are two assets available for consumers to allocate their savings.\n", + "\n", + "- Bonds: paying a risk-free return $\\bar{R}_f$.\n", + "\n", + "- Stocks: paying a stochastic return $R_t = \\bar{R}_f + \\mu + \\eta_t$, where the stochastic component $\\eta_t \\sim \\mathcal{N}(0, \\sigma^2_\\eta)$ is allowed to be correlated with the aggregate labor income innovation $\\xi_t$.\n", + "\n", + "The borrowing and short-selling constraints ensure that agents cannot allocate negative dollars to either of these assets or borrow against future labor income or retirement wealth. Recall $\\alpha_{i,t}$ is the proportion of the investor's savings that are invested in the risky asset. The model's constraints imply that $\\alpha_{i,t}\\in[0,1]$ and wealth is non-negative.\n", + "\n", + "\n", + "### Calibration—Summary\n", + "\n", + "The paper defines and calibrates several parameters which can be broken down into the following categories:\n", + "\n", + "__1. Preferences and life cycle__\n", + "\n", + " | Parameter | Description | Code | Value |\n", + " |:---:| --- | --- | :---: |\n", + " | $\\delta$ | Time Preference Factor | $\\texttt{DiscFac}$ | 0.96 |\n", + " | $\\gamma$ | Coefficient of Relative Risk Aversion| $\\texttt{CRRA}$ | 10 |\n", + " | $p_t$ | Survival Probability | $\\texttt{LivPrb}$ | [0.6809,0.99845] |\n", + " | $t_0$ | Starting Age | $\\texttt{t_start}$ | 20 |\n", + " | $t_r$ | Retirement Age | $\\texttt{t_ret}$ | 65 |\n", + " | $T$ | Maximum Age | $\\texttt{t_end}$ | 100 |\n", + "\n", + "__2. Income process and the finanical assets__\n", + "\n", + " | Parameter | Description | Code | Value|\n", + " |:---:| --- | --- | :---: |\n", + " | $f(t,Z_{i,t})$| Average income at each stage of life | $\\texttt{det_income}$ | $ \\exp($0.530339 + 0.16818 $t$+ (0.0323371/10) $t^2$ + (0.0019704/100) $t^3)$ |\n", + " | $\\lambda$ | Last Period Labor Income Share for Retirement | $\\texttt{repl_fac}$ | 0.68212 |\n", + " | $\\log \\Gamma$ | Permanent Income Growth Factor | $\\texttt{PermGroFac}$ | $\\{\\log f_{t+1} - \\log f_t\\}^{t_r+1}_{t=20}$ |\n", + " | $\\mathsf{R}$ | Interest Factor | $\\texttt{Rfree}$ | 1.02 |\n", + " | $\\mu$ | Average Stock Return | $\\texttt{RiskyDstnFunc}$ \\& $\\texttt{RiskyDrawFunc}$ | 1.06 |\n", + " | $\\sigma_\\eta$ | Std Dev of Stock Returns | $\\texttt{RiskyDstnFunc}$ \\& $\\texttt{RiskyDrawFunc}$ | 0.157 |\n", + "\n", + "\n", + "__3. Shocks__\n", + "\n", + " | Parameter | Description | Code | Value |\n", + " |:---:| --- | --- | :---: |\n", + " | $\\sigma_v$ | Std Dev of Log Permanent Shock| $\\texttt{PermShkStd}$ | 0.102956 |\n", + " | $\\sigma_\\epsilon$ | Std Dev of Log Transitory Shock| $\\texttt{TranShkStd}$ | 0.27166 |\n", + "\n", + "\n", + "For reference, the authors' source Fortran code that includes these paramerization details is available on [Gomes' personal page](http://faculty.london.edu/fgomes/research.html). Code that solves the model is also available in [Julia](https://github.com/econ-ark/HARK/issues/114#issuecomment-371891418)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Calibration in our implementation.\n", + "\n", + "We replicate the previously defined parameter values and transition processes for state variables and shocks, and format them into the structures required by HARK.\n", + "\n", + "This is done in the external file [Calibration/params.py](https://github.com/matthew-zahn/CGMPort/blob/master/CGMPort-Shared/Code/Python/Calibration/params.py), which we now import." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "lines_to_next_cell": 2 + }, + "outputs": [], + "source": [ + "# Calibrate the model in line with the information above\n", + "import sys,os\n", + "# The following code navigates to another directory where a python script with the parameters for the model is saved.\n", + "sys.path.append(os.path.realpath('Calibration/')) \n", + "# Loading the parameters from the Calibration/params.py script\n", + "from params import dict_portfolio, time_params, det_income, age_plot_params" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "All of the model's parameters are contained in the structure dict_portfolio, which can now be passed to HARK's PortfolioConsumerType to build and solve a representation of our problem. " + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Solve the model with the given parameters\n", + "agent = cpm.PortfolioConsumerType(**dict_portfolio)\n", + "agent.solve()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### A note on normalization\n", + "\n", + "The problem as specified above makes the value function homogeneous with respect to permanent labor income. This is convenient as it allows for a re-statement of the problem in variables that are normalized by permanent income or its random components, eliminating a state variable.\n", + "\n", + "The authors report (page 497) taking the normalization $v_{i,t} = 1$. This amounts to defining normalized variables $\\tilde{\\cdot}$ as the original variable divided by $e^{v_{i,t}-1}$. For instance:\n", + "\n", + "\\begin{equation}\n", + "\\tilde{Y_{i,t}} = \\frac{Y_{i,t}}{\\exp(v_{i,t}-1)} = \\frac{\\exp (f(t,Z_{i,t}) + v_{i,t} + \\varepsilon_{i,t})}{\\exp(v_{i,t}-1)} = \\exp( f(t,Z_{i,t}) + 1 + \\varepsilon_{i,t} )\n", + "\\end{equation}\n", + "\n", + "These normalized variables have the convenient interpretation of the state that things would be in if, it weren't for permanent shocks. The author's depictions of policy functions are presented in terms of these normalized variables.\n", + "\n", + "On the other hand, HARK normalizes the problem by total permanent income $P_t = \\exp (f(t,Z_{i,t}) + v_{i,t})$ and its solution objects are therefore in terms of normalized variables $\\hat{\\cdot}$, defined as\n", + "\\begin{equation}\n", + "\\hat{X_{i,t}} = \\frac{X_{i,t}}{P_{i,t}} = \\frac{X_{i,t}}{\\exp (f(t,Z_{i,t}) + v_{i,t})}.\n", + "\\end{equation}\n", + "\n", + "Therefore, to present our results in a way consistent with that of the original authors, we would use the following relationship\n", + "\\begin{equation}\n", + "\\tilde{X_{i,t}} = \\hat{X_{i,t}} \\times \\exp (f(t,Z_{i,t})+1)\n", + "\\end{equation}\n", + "\n", + "However, our results are much more consistent with those of the original authors when we take the normalization $v_{i,t} = 0$, which also make sense since it makes the random-walk multiplicative part of permanent income $\\exp{v_{i,t}}=1$. We therefore assume this is a typo, take $v_{i,t} = 0$, document this issue in the \\textbf{Puzzles} section below, and use the relationship\n", + "\\begin{equation}\n", + "\\tilde{X_{i,t}} = \\hat{X_{i,t}} \\times \\exp (f(t,Z_{i,t})).\n", + "\\end{equation}\n", + "\n", + "The next cell defines our normalization factor" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# Define a normalization factor\n", + "norm_factor = det_income*np.exp(0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Key Results\n", + "\n", + "#### The optimal risky asset share\n", + "\n", + "The plot below shows the policy function for the risky portfolio share as a function of wealth at different ages.\n", + "\n", + "The optimal risky share is decreasing in wealth. The authors argue this is due to the fact that, at low levels of wealth, relatively safe human wealth represents a higher fraction of the consumer's wealth, so he shifts his tradeable wealth towards riskier alternatives.\n", + "\n", + "Analyzing the policy rule by age also shows that the risky share increases from young to middle age, and decreases from middle to old age. This is consistent with the previous interpretation: shares trace the humped shape of labor earnings.\n", + "\n", + "These estimates are different from what is produced in the original paper, which are also reproduced below. Generally, the policy functions do not share the same curvature, which leads to greater reductions in the optimal portfolio share at lower levels of wealth." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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j54/x9Z6v8xRHBtXaQMMe8PssOH/Ss3WXcJoglCrmgu8eRPLRo5z9IW+DIl9ZO4S2tYL5dl9Srp6ubl+lPU1CmvDupndJSvXwReXrJ0LSefj1Rc/WW8JpglCqmCt73XX41q5N7Pvv5+nBOYCHb6jH6QTDglXuX4sQEe5tfi+H4w7z3d7cP+WdqdD60GIgrH4XTkV5tu4STBOEUsWcOBwED7qL+K1b8/zgXLvaITQIcvDGL3tydRRxXfh1NAxuyLub3iXF05P/dBgLDm/nba/KIzRBKFUCBNxyC14hIcS8n7c5GkSEW+v6En02gU9XH8y5QCblhzUbRtTZKH6M8vA8YOUrQ7sHYdPnOmeEh2iCUKoEcPj5ETTgds7/8isJu3fnqa6GwQ7a1Azm9RW7c3UUcX3166kbWJe3N75NqvHwMBntH4bSIbDkKR3IzwM0QShVQgT174/4+xPzwQd5qkdEGHlDPaLPJuTqWoRDHNzb7F72nNnDkv0eHmzPvzxcNwaiVsLunzxbdwmkCUKpEsI7KIiAnrdy9uvFJB3P3XSiadrVCaFNrWBeX5G7axGda3SmTkAd3lz/puePIlrd7RzIb+kE8PR1jhJGE4RSJUjIoEGYlBROzf04T/WICKM71+f4uQTm/e3+UYSXw4t7m9t0FOHtCzdMhONbYf0nnq27hNEEoVQJ4lujBuVuvJFTCxaQEpe3oSmurB3CVXVCeGPF7lyN0XRjjRupHVCbtza85fmjiIhbIfwK5x1NOgRHrmmCUKqECRkyhNRz5zj96Wd5rmtU5/qcjEvk47/cH+nVy+HFvc3uZffp3SzdvzTPsfyLCNw4DeKOwR+verbuEkQThFIlTKmmTSh95ZXEfvghJjExT3VdUTOYa+pV4K1f9nI+wf2jiC41u1AroBZvbrDhWkT1ttC4J/zxCpw94tm6SwhNEEqVQCH33EPy8eOc+eZ/ea5rVOf6xJxP5IM/otwu6+Xw4v7m97P79G6WRNkwfegNkyA1WR+eyyVNEEqVQGXaX4Vfo0bEzJmDyeOUnS2rB9GxQShv/7qXs7mYda5LzS7UDazL6xte9/zT1UE1oe29zovVRzd4tu4SQBOEUiWQiBAyZAiJe/YQt2xZnusb3bmBc+7q39yfu9ohDh6IfIB9Z/bx3T4Pj9EEcM2jUCoIfhinD8+5SROEUiVU+a5d8KlenZNvvZ3nQfyahgfQtXEl3lu5j1Pn3b+ucX3162kQ1IA3N7xJcqr71zKyVSoQOo2H/b/BtsWerbuY0wShVAkl3t6EDBlC/KZNXPjzzzzXN6pzfeISk3l75V63y6YdRRw4d4Bv9nyT51gyaDkIKkbAkichyYPTnhZzmiCUKsECet6Kd2goJ99+J891NahUjpubV+GD36M4cS7B7fIdq3UkIiSCtza+5dlZ5wC8vKHrdDh9AP56zbN1F2OaIJQqwRy+vgQPHsyFv/7i4vr1ea7v4evrkZiSymvL3R8QUEQYHjmcw3GHWbhrYZ5jyaB2B2jwH/j1JTh3zPP1F0OaIJQq4YJu64tXQIBHjiJqh5alb6tw5v29n4OxF9wuf3XVq2lZsSVvbXiLC0nul8/RjVMhJRF+muz5uoshTRBKlXCOMmUIGjiQuGXLiN+xI8/1PXxDPRwivLx0p9tlRYSRrUYSEx/DJ9ttGEcppA60ewA2fEK5s3nva3GnCUIpRfDAO3CUKcPJN9/Mc12VA0ox6KqafLn+MNuOnnW7fIuKLbg2/FrmbJ7DmYQzeY4ng2sfg7Jh1Nv1DuTxGZDiThOEUgqvgACC7riDcz/8SMKePXmu7/4OdSjn580LP+bur/SHWjzEucRzfLDlgzzHkoFfObhhEuXP7YKNCzxffzFia4IQka4iskNEdovIE5lsryEiP4vIRhFZISLh6baliMh6a9Gbl5WyWfCgu5BSpTj55lt5riuwtC/3dajDsu3HWbUv1u3yDYIb0L1Wdz7e+jEnLpzIczwZNOvH2XL14KdJkHDO8/UXE7YlCBHxAl4DugERQH8RibhstxeBj4wxzYApwPR02y4aYyKt5Wa74lRKOXkHBRHUrx9nv/2WxKioPNd391W1CCvvx/Tvt+XqQbzhkcNJTk3mzQ15P+2VgcPBrnpDIS4afnne8/UXE3YeQbQBdhtj9hpjEoEFwC2X7RMBpD3nvzyT7UqpfBQy+G7Ex4eTb72d57pK+Xox6ob6rDtwmh+3uH9babXy1ehTvw+Ldi0i6kxUnuO53LnyDSDyDvjrdTihF6wzI3l9xD7LikX6AF2NMfdY7wcCbY0xw9Pt8wnwtzFmloj0AhYBFYwxMSKSDKwHkoFnjTFfZdLGMGAYQFhYWKsFC3J/PjEuLo6yZcvmunxhUVz6AdqXglL2s88oveIXYiZPIiU0NMN2d/qSkmp46o+LpKTCtKtL4e0Qt2I5m3KWyYcn07hUYwaHDnarbE7i4uII8k2mzaoHiCtbmw3NpzrnkSiC8vLvq2PHjmuMMa0z3WiMsWUB+gDvpns/EJh92T5VgC+AdcAs4BAQaG2rav2sDUQBdbJrr1WrViYvli9fnqfyhUVx6Ycx2peCkngs2mxr1twcHjcu0+3u9uWnrcdMjTH/Mx/9GZWreGavm22afNDEbDqxKVfls3KpH6veMWZieWM2fu7R+vNTXv59Af+YLL5X7TzFdBiolu59uLXuEmPMEWNML2NMC2C8te609fOw9XMvsAJoYWOsSimLT1hFAv97G2e++prEA+7PN325Tg0r0qZWMLN+2klcLiYVuiviLoL9g3l5zct5HlQwU63uhsrN4cfxesH6MnYmiNVAPRGpJSK+QD/gX3cjiUgFEUmLYSwwx1ofJCJ+afsA7YGtNsaqlEon5J57EG9vTr6R9wvEIsK47o04GZfI27+6P5BfWd+yDGs2jFXHVvH7kd/zHE8GDi/4zwzn9KQrnvV8/UWYbQnCGJMMDAd+BLYBnxljtojIFBFJuyupA7BDRHYCYcA0a30j4B8R2YDz4vWzxhhNEErlE5+KFQnq148zixeTuN/9+aYvF1ktkP80q8w7v+4l+qz7o6neVv82wsuGM2PNDM9PKgQQ3hpa3gV/vQHRWzxffxFl63MQxpjvjDH1jTF1jDHTrHUTjDGLrdcLjTH1rH3uMcYkWOv/MMY0NcY0t36+Z2ecSqmMQobe47yj6fU3PFLfmC4NSU5NzdUQHD5ePjzc6mF2ndrFN3ttGA4cnNOT+gfAt4/oxEIWfZJaKZUp7woVCOrfnzPffEPCPvdnirtc9ZDS3NWuJp/9c5Dtx9wfgqNLjS40CWnCq+teJT7ZhjkdSgdD58lw4E/YMN/z9RdBmiCUUlkKuWcI4ufHydde90h9wzvVpayfN9O/2+52WRFhdOvRHL9wnI+3feyReDKIvAPC28CSp+DiKXvaKEJcShDWkBg3WK9LiUg5e8NSShUG3iEhBN8xgLPffkvCrl15ri+wtC8PXV+PX3aeYOUu94fQuKLSFXQI78B7m94jNt79ITxy5HDAf16Ci7Hw8xTP11/E5JggRGQosBBIG6AlHPjKxpiUUoVI8ODBOEqX5sRsz8zENrBdDaoFl2Lat9tISXX/XP/IViO5mHyRN9Z75tpIBpWbQZt74Z/34eBqe9ooIlw5gngQ522mZwGMMbuAinYGpZQqPLyDggi+6y7O/fgj8du25bk+P28vxnZrxPZj5/h09UG3y9cJrEOf+n34fOfn7D3t/m2zLuk0HspVhv+NBE9Pf1qEuJIgEoxzLCUARMQb0Ev8SpUgwYPuwlG+PCdeedUj9XVrUok2NYN5ackOzsa7/wX8QOQDlPIuxUtrXvJIPBn4lYPuL0D0ZudYTSWUKwniFxEZB5QSkc7A54BN95kppQojr/LlCRl8N3HLl+O9LyrP9YkIE26KIPZCIrOXuT9/dbB/MMOaDePXQ7/yx5E/8hxPphr1gAbdnQ/Pnc77E+VFkSsJYgxwAtgE3At8BzxpZ1BKqcIn6I6BeAUFUXaxZ6ZnaVI1gL6twnn/931EnTzvdvkBjQZQtWxVXlj9gj0PzwF0ex4Q+PbREvlsRLYJwprTYZsx5h1jTF9jTB/rdcn7TSlVwnmVLUPI0KH4bdvG+VWrPFLno10a4OvlYNp37l/b8PXyZXSr0ew+vZtFuxZ5JJ4MAqs5r0fs+hG2fmVPG4VYtgnCGJOCcyiM6vkUj1KqEAu6vT8pAQGcmDnLIwPnVSznz4Od6rJ0azS/7TrpdvnONTrTsmJLZq+bzblEmwbaa3MvVI6E7x4vcc9GuHKKKQjYYk0NujhtsTswpVTh4/D353z3blxcu5bzK1d6pM7B7WtRPbg0k7/ZQnJKqltlRYQxbcZwOuE0b23I+1SpmfLyhptfgQsxzilKSxBXEsRTQA+cU4K+lG5RSpVAF9u3xyc83GNHEf4+Xoz/TyN2HY9j3t/uXwyOCIng1rq3Mm/7PPafzfvAgpmq3BzaPQBrPoD9Nl0UL4RyTBDGmF8yW/IjOKVUIeTtTYXhDxK/dSvnflzikSpvjAijfd0QZizdyanziTkXuMxDLR/C1+HLi/+86JF4MtVhLARWh28ehiQbxoIqhFx5kvpKEVktInEikigiKSLi/khbSqliI+Cmm/CtU4cTr7yCSXZ/EqDLiQgTejTmXHwSM3Ix2muFUhUY2mwoKw6usO+2V98y0GMmnNwJK21MRIWIK6eYZgP9gV1AKeAewDPP3CuliiTx8iL04YdI3LuXM1975pJkg0rluOPKGsz7ez/bjrr/N+idEXcSXjac51c9T1KqTU8/170emveH316GY5vtaaMQcWmwPmPMbsDLGJNijHkf6GpvWEqpwq5c5874N23Kiddmk5ro/mmhzIzuXJ+AUj5M/HqL29c3fL18eeyKx9hzZg+f7fjMI/Fkqssz4B8Ii0eAXc9fFBKuJIgL1pSh60XkeREZ5WI5pVQxJiJUHDWS5CNHOb3gU4/UGVjal0e7NGBVVCyLNxxxu3zHah1pV7kdr61/zZ7RXsE5b0T35+HIWucMdMWYK1/0A639hgPngWpAbzuDUkoVDWWuuorSV17JyTffJPW8+09DZ6bfFdVpUrU8z3y3jfMJ7l3fSLvt9ULSBWavm+2ReDLVuBfU7wbLnoaYPfa1U8BcuYtpvzEm3hhz1hgz2Rgz2jrlpJRSVBz5MCmxscR8+KFH6vNyCJNvbkL02QRmL3f/q6ZOYB36N+zPwp0L2RaT99FnMyUCPWaAly98PRxS3Xt+o6hw5S6m9iKyVER2isjetCU/glNKFX6lIiMp17kzse++R3JMjEfqbFUjiF4tq/Luyr3sORHndvn7I+8nyD+IaX9PI9XY9OVdvgp0nQ4H/oDV79jTRgFz5RTTe8AM4GrginSLUkoBEDpqFKkJCZx83XPn5Md2a4S/jxcTvt7s9gXr8r7lGd1qNBtObODr3V97LKYMIm+Hup2dT1jH5n3e7sLGlQRxxhjzvTHmuDEmJm2xPTKlVJHhV7sWgX37cOrTT0mMivJInaHl/Hi8SwN+3x3DNxuPul3+5jo307JiS2asmcHp+NMeiSkDEbhpFji8rbuaiteppiwThIi0FJGWwHIReUFE2qWts9YrpdQloQ8+iPj6cnzmLI/VeXvbGjStGsDU/211e2IhEWH8leM5l3iOWes8F1MGAVWdt75GrYTV79rXTgHI7ggibcyltkBr4Jl060rGY4RKKZd5h4YScvfdnPvhBy5u2OCROr0cwrSeTTgZl8DLuXjCun5QfQY0GsCinYvYeGKjR2LKVIs7rFNNE4vVXU1ZJghjTMdslk75GaRSqmgIvvtuvEJCiH7+BY8M5AfQLDyQO9rW4MM/oth8+Izb5R+IfIDQUqE8/dfTJKfmfViQTIk4R3x1+MBXDxSbB+hcuYvpYREpL07vishaEbkxP4JTShUtXmXLEDpiBBfXrOHc0qUeq/fRLg0ILuPL+C83kZLqXuIp41OGMW3GsC12Gwu2L/BYTBmUrwLdnoODfxWbB+hcuUg92BhzFrgRCMH54NyztkallCqyAvv0xrduHY6/9BLGQ0NwBJTy4akeEWw4dIZP/nZ/SO/ONTpzddWrmb1+NtHnoz0SU6aa93POY71sKpzYYV87+cSVBCHWz+7AR8aYLenWKaXUv4i3N2GPP07S/gOcmj/fY/Xe3LwKV9etwPM/7OD4OfeG2xYRxrUdR3JqMs+vft5jMWXSkHPEV5/S8MVQSPZMgiworiSINSKyBGeC+FFEygHF614upZRHlbnmGspcdRUnXn+DlNOnPVKniDD11iYkpKTy9P/cf0K6WrlqDGs2jCX7l/Db4d88ElOmyoU5b309ugF+tTEZ5QNXEsQQ4AngCmPMBcAXuNvWqJRSRZqIUHHM46SePcvJN970WL21KpThgQ51WLzhCL/sPOF2+UGNB1EroBZP//U0iak2/nUfcTNEDoCVL8HBVfa1YzNXxmJKNcasNcactt7HGGNsvF9MKVUc+DdoQGCf3sTOm0fCPs89ZXx/hzrUCS3DuC82uT2Yn6+XLxOunMDhuMN8f+Z7j8WUqa7PQvlw+GIYJLg/XEhhoMN2K6VsE/rwwzj8/Dj+gucenfLz9uLZ3s04fPpirmafa12pNb3q9WLZ2WXsiLXxQrJ/eej5JpyKgh/H2deOjWxNECLSVUR2iMhuEXkik+01RORnEdkoIitEJDzdtrtEZJe13GVnnEope3hXqEDIffcSt2wZ5//802P1XlEzmAFtq/P+7/vYcPC02+VHtxpNGUcZJv85mRQ7n1mo2R7aPwxrP4Tt39nXjk1cShAi0lxEhltLcxfLeOGcmrQbEAH0F5GIy3Z7EeedUc2AKcB0q2wwMBHnU9xtgIkiEuRKu0qpwiX4zjvxCQ8nevqzmBTPfRmP6daQ0HJ+jFm0kaQU9+6bCfALoFdwLzad3MSCHTY+GwHQcTxUauocqynuuL1teZhLD8oB84CK1vKxiIxwoe42wG5jzF5jTCKwALjlsn0igGXW6+XptncBlhpjYo0xp4Cl6DSnShVJDj8/Kj76KAk7d3L684Ueq7e8vw9Tb2nC9mPnePtX92cgaFW6Fe2rtueVta9wNM79wQBd5u0Lvd6BhHPOuSM89IR5fvB2YZ8hQFtjzHkAEXkO+BN4NYdyVYGD6d4fwnlEkN4GoBcwC+gJlBORkCzKVr28AREZBgwDCAsLY8WKFS50J3NxcXF5Kl9YFJd+gPalsMpVX/x8CapXjyMvvsjG8uUwpUt7JBZfoHWYFy8v3UHw+QNULuv6WfPz589zo/+NrE5ZzchvR3JfxfsQse8Rr6q1BlJv17vs/GQMR6p292jddv37ciVBCJD+uDAFzz0o9ygwW0QGAb8Chy9rK1vGmLeBtwFat25tOnTokOtAVqxYQV7KFxbFpR+gfSmsctuX+LAw9vXuQ8MNGwgbO9Zj8US0iqfzjF/58lApFgy7EofDta+ntH5c3HaRZ1c9y/ka5+lRu4fH4sog9Vr4JIr6+z6k/g2DIOzyM+65Z9e/L1fS7fvA3yIySUQmAX/hnEQoJ4dxzl+dJtxad4kx5ogxppcxpgUw3lp32pWySqmixT8igsC+fYmd9wkJezw34mnFcv6M/08jVkXF8smqA26X79egH81Cm/HcqueIjY/1WFwZOBxw6xvgVx4WDYGki/a15SGuPAcxA+eDcbHWcrcxZqYLda8G6olILRHxBfoBi9PvICIVRCQthrHAHOv1j8CNIhJkXZy+0VqnlCrCQkc+jKNUKaKfme6x0V4B+rYK5+q6FXj2++0cPePeF6+Xw4vJ7SYTlxTHs6tsHmaubEXo+QYc3wpLnrK3LQ/IbsKg8tbPYCAK+Nha9lvrsmWMSQaG4/xi3wZ8ZozZIiJTRORma7cOwA4R2QmEAdOssrHAVJxJZjUwxVqnlCrCvIODCR0xnPO//07c8hUeq1dEeKZnU1JSDeO+2OR28qkbVJdhTYfx/b7vWXHQc3Fl3tgN0G64cx7rQn7ra3ZHEJ9YP9cA/6Rb0t7nyBjznTGmvjGmjjEm7ct/gjFmsfV6oTGmnrXPPcaYhHRl5xhj6lrL+7nom1KqEArq3x/funWInj6d1ISEnAu4qHpIaR7v2oDlO06waK37Z6TvaXoPdQPrMvWvqZxLPOexuDJ1/QSo1Ay+fgDOHrG3rTzIbsKgHtbPWsaY2umWWsaY2vkXolKqOBEfHyqNH0/SwYPEvOfK5UzX3dWuJm1qBjPlmy1En3VvxFcfLx+mtp/KyYsneemflzwaVwbeftDnfedor18MK7QTDOU4J3VWS34GqZQqXsq0a0e5rl2JeettEg957v4Th0N4rk8zEpJTGf+l+6eamlRowp0Rd7Jo1yL+Pvq3x+LKVIW60P0F51zWv82wt61ccmVO6swWnZNaKZUnYWMeB4eD48959sJwrQpleKxLA37adpyv1ruffB6IfIDq5aoz8Y+JXEi64NHYMoi8HZr0huXT4cBf9raVCzontVKqQPhUrkyF++7j3NKfiFvp2fkZ7m5fi1Y1gpi0eKvbp5pKeZdiSvspHIk7wow1Nv9lLwI9XoaAcFg4BC4UrntxXBlqw0dEHhKRhdYyXER88iM4pVTxFnz3IHxr1CD66adJ9dD0pABeDuGFPs1ISE7J1V1NrcJacUfEHXy641P7TzX5B0DfDyAuGr66v1ANxeHKg3JvAK2A162llbVOKaXyxOHrS9hTT5G4fz+xHr5gXTu0LI91acjP24/zRS7uahrRYgQ1y9dkwu8TOJ903qOxZVC1Jdz4NOz8Af6cbW9bbnAlQVxhjLnLGLPMWu4GrrA7MKVUyVD26vaUu/FGTr75FomHDnm07ruvct7VNOmbLRw74/6ppqntp3LswjFe/CcfLru2vRca9oCfJhWaWehcSRApIlIn7Y2I1MaN8ZKUUionYWOfAC8voqc949F6HQ7hhb7NSE4xPL5oo9unmiIrRnJXxF0s3LmQ3w//7tHYMhCBW16D8lVg4eBCcT3ClQTxGLDcmtDnF5zDcz9ib1hKqZLEp3JlQh+4n7jlyzm3bLlH664RUoZx/2nErztPMO9v98dqerDFg9QJqMOEPyZwJuGMR2PLoFSg83rEuWPw1QMFfj0iu+cg+lov9wL1gIeAEUADY4xnP0GlVIkXfOed+NapQ/S0aaRe9OxAdne0rc619UOZ9u02ok66dz3Bz8uPaddMI+ZiDM+tes6jcWWqaivoMg12fl/g1yOyO4JIG493kTEmwRiz0Vo892y8UkpZxNeXShMnkHT4MCdf9+x9MCLC872b4eMljP5sPSmp7v1l3jikMcOaDeObvd/w8/6fPRpbptoMg0Y3F/j1iOwSRIyILAFqicjiy5f8ClApVXKUadOGgJ49iXn/feJ37vRo3ZUC/Jl6axPWHjjNm7+4P9z40GZDaRTciMl/TubkxZMejS0DEbhltvP5iM/ugrgT9raXhewSxH+ACcBJMn+aWimlPK7i44/hVbYsxyZNxqS6N9d0Tm5uXoX/NKvMy0t3EnXGvXttfBw+TL9mOueTzjPpj0keHa48U/4BcNtcuBgLC++GlGR728tEdk9SJxpj/gLGG2N+Sb/gnJtaKaU8zjsoiIqPPcbFtWs5vWiRR+sWEabd2oQKZf14a2MCFxPdSxJ1AuswqtUofjn0C4t2eTa2TFVuBj1mOsdrWjbF/vYu48pdTE9kss5z8wUqpdRlAnr1pHTr1hx/8SWST3r2dE5gaV9euq05R88bnvlum9vlb290O1dWvpLnVz/PgbPu3xXltsj+0HoI/D4Ltn5tf3vpZHcXUzcReRWoKiKvpFs+APL/WEcpVWKICJWmTMZcuED0M9M9Xn/7uhXoUtObuX/tZ9n2aLfKOsTB1PZT8XZ4M3blWJJSkzweXwZdp0PV1s5bX0949tpMdrI7gjiCc2KgeJyTBKUti4Eu9oemlCrJ/GrXJuS+ezn73XfE/fKLx+vvXc+XhpXK8djnGzl+zr2nrCuVqcSEdhPYeHIjb214y+OxZeDtB7d9BN7+8OkASLB5QiNLdtcgNuCcYvR3Y8yH6ZYvjDGn8iU6pVSJVmHoUHzr1uHo5MmknvfseEi+XsKr/VsQl5DMI59tINXNW1+71uzKLXVu4Z1N77Ameo1HY8tUQFXo+z7E7Mm3h+iyvQZhjEkBqomIr+2RKKXUZcTXl8pTppJ89BjHZ83yeP31wsrxVI8IVu46yXu/7XO7/Ni2YwkvG84TK5+w/ylrgFrXQufJsG0x/D7T9uZcuUi9D/hdRJ4SkdFpi92BKaUUQOmWLQjq349Tcz/m4oYNHq9/QNvq3BgRxvM/bmfTIfe+5Mv4lOG5a5/j5IWTTPlziv23vgK0Gw6Ne8FPk2HXT7Y25UqC2AP8z9q3XLpFKaXyRejo0XiHhXH0yacwHpw3ApwXxJ/r3YyQMn6MmL+WuAT37sFpUqEJD7Z4kCX7l/Dl7i89Glum0h6iq9TEOajfyV22NZVjgjDGTDbGTMZ6QC7de6WUyhdeZctSaeIEEnbt4uQ773i8/qAyvszqF8mB2As8mYu5rAc3GUzbym2Z/vd09p7e6/H4MvAtA/0+AS9vmN8fr2R75qtwZUa5JiKyDtgCbBGRNSLS2JZolFIqC+U6dqT8f/7DyTffImH3bo/X37Z2CA9fX5+v1h9h4Rr35qVwiIPpV0+ntE9pHvv1MRJS8mHIusDqzjubTu0jYutL4OGnzsG1U0xvA6ONMTWMMTVwDvXt+RSulFI5CBs/Dq8yZTg6/klMiuenpRneqS7taocw4est7D7u3q2koaVDebr90+w8tZMXV+fDBEMANa+Gbs8TG9zCeerJw1xJEGXSD+9tjFkBlPF4JEoplQPv4GDCxo/j4oYNnPr4Y4/X7+UQZvaLpLSvF8M/Wef2UBzXhF/DnRF3smDHApbuX+rx+DJ1xRAOh99UYAlir3UHU01reRLnHBFKKZXvyvfoQdkOHTj+8kwSo6I8Xn9YeX9m/DeS7cfOMfmbLW6XH9lyJE0rNGXC7xM4eO6gx+PLT64kiMFAKPCFtYRa65RSKt+JCJUmT0Z8fTny5JMeH/EV4Lr6oTzYsQ4LVh/ky3XuXY/w8fLhheteQER49JdHSUzx7F1X+cmVu5hOGWMeAjoC1xljHtYnqZVSBcknrCJhTzzBxX/WcGreJ7a0MeqG+rSpGcz4Lzez+3icW2Wrlq3KtPbT2BqzlRf/yafrETZw5S6mK0RkE7AB2CQiG0Sklf2hKaVU1gJ63kqZa6/h+IwZJB7w/Kiq3l4OXunfglI+Xjwwbw0XEt17PqJj9Y7cGXEn87fP58eoHz0eX35w5RTTe8ADxpiaxpiawIPA+7ZGpZRSORARKk+Zgnh5cXTceFtONVUK8Gdmv0h2HY/jya82u/18xMhWI2kW2oyJf0zMn6HBPcyVBJFijFmZ9sYY8xs63LdSqhDwqVSJsLFjufDPP5z6eJ4tbVxTL5SHr6/HF2sP8+lq9y46+zh8ePHaF/F2ePPIL48Qn+zeqLEFzZUE8YuIvCUiHUTkOhF5HVghIi1FpKXdASqlVHYCevWkzHXXOk817d9vSxsjOtXjmnoVmLB4C5sPuzdeU+WylXnm6mfYHrud51Y/Z0t8dnElQTQH6gMTgUlAI6AFzqE3iu7VF6VUsXDpVJOPD0dsOtXk5RBm/jeSkDK+PDBvLWcuuDdJ0LXh13JP03tYuHMhi/cs9nh8dnHlLqaO2SydsisrIl1FZIeI7BaRDFOXikh1EVkuIutEZKOIdLfW1xSRiyKy3lrezH0XlVLFnU9YmPMBujVriP3wI1vaCCnrx2sDWnL0zEVGfbbe7fkjHox8kDaV2jDlzylsj91uS4ye5soRRK6IiBfwGtANiAD6i0jEZbs9CXxmjGkB9ANeT7dtjzEm0lrusytOpVTxEHDLLZTt1IkTL79sy1hNAC2rB/FUjwiWbT/Oa8vda8Pb4c3z1z5PgF8AI5ePzJ/5I/LItgQBtAF2G2P2GmMSgQXALZftY4Dy1usAnNOcKqWU25ynmibjKFOGI2OewCTZM1f0wCtr0LNFVWb8tJNfdp5wq2xIqRBmdJhB9IVonlj5BKnG86fDPEnsmuBCRPoAXY0x91jvBwJtjTHD0+1TGVgCBOEc3+kGY8waEamJc/TYncBZ4Mn0d1KlKz8MGAYQFhbWasGCBbmONy4ujrJly+a6fGFRXPoB2pfCqrD3xW/tWgLffoe4Hv/hfI8eWe6Xl34kpBim/nmRUwmGSe1KEVravb+1fzv3G5/Gfkq3gG50D+yeqxjSy0tfOnbsuMYY0zrTjcaYbBdgDc5nH4Jy2veycn2Ad9O9HwjMvmyf0cAj1ut2wFacRzV+QIi1vhVwECifXXutWrUyebF8+fI8lS8siks/jNG+FFZFoS+HHn3MbI1obC5s3JTlPnntx74TcabJxB9Mt5m/mgsJyW6VTU1NNeNWjjNNPmhiVhxYkac4jMlbX4B/TBbfq66kvf8CVYDVIrJARLqIuDRs4GGgWrr34da69IYAn1mJ6k/AH6hgjEkwxsRY69fgnNWuvgttKqUUlZ4cj3doKEcef5zUixdtaaNmhTLM6hfJtmNnGe/mJEMiwlNXPkWj4EaMXTm20D5E58pdTLuNMeNxfkF/AswB9ovIZBEJzqboaqCeiNQSEV+cF6Evv7/rAHA9gIg0wpkgTohIqHWRGxGpDdRDR5BVSrnIKyCAKtOfIXHfPo6/YN/d+J0ahjHy+vp8se4wH/4R5VZZf29/ZnSYgcPhYOSKkVxIumBPkHng0okzEWmG87mHF4BFQF+c1waWZVXGGJMMDAd+BLbhvFtpi4hMEZGbrd0eAYaKyAZgPjDIOuS5FtgoIuuBhcB9xpjYXPRPKVVClWnXjuC77uLUJ58QtzLDJUyPGdGpLjc0CuPpb7fx554Yt8qGlwvn+WueZ/ep3Uz8Y6LbQ3nYzZXB+tYAL+M8ImhmjHnIGPO3MeYlcvir3hjznTGmvjGmjjFmmrVugjFmsfV6qzGmvTGmuXHezrrEWr/IGNPYWtfSGPNNXjuqlCp5QkePwq9ePY6MG0fyKXsGoXY4hBn/bU6NkNI8+MlaDsa6dyRwVdWreLjlw/wQ9QPvbX7Plhhzy5UjiPuNMdcbYz4xxiQAiEgPAGNML1ujU0qpPHD4+VHlhedJPX2GYxMm2PYXenl/H965szVJKakMm+v+yK+DmwymW61uvLL2FX45+IstMeaGKwniTRFpkvZGRPoDT9kXklJKeY5/w4aEjhrFuaU/cXrhQtvaqR1allf7t2DHsbM89vlGty9aT75qMg2DGzJm5Rj2ni4cl1xdSRB9gI9EpKGIDAUeAG60NyyllPKc4EF3UbrdlUQ/M52Efftsa6dDg4qM6dqQbzcdZfYy9560LuVdilkdZ+Hn5cdDyx8qFE9au3IX016cdyB9AfQGbjTGFHzkSinlInE4qPLss85pSh973LanrAGGXVubXi2q8tLSnfyw+ZhbZSuXrczLHV7mcNxhxvw6hpTUFJuidE2WCUJENlkD6G3EeSdRMFAL+Ntap5RSRYZPWBiVp0whfvNmTrzyqm3tiAjP9GpK82qBjP5sPduOnnWrfMuwloxvO57fj/zOzLUz7QnSRdkdQfQAbkq3tMV5aintvVJKFSnlu9xIYN++xLz7Lr5bt9nWjr+PF+8MbEU5f2/u+fAfTsYluFW+T/0+/LfBf/lgywcFOjx4lgnCGLPfGLMf8AaOWa9r4RxwT08xKaWKpLBxY/GtU5vyH3xA8smTtrVTsbw/79zZmpjzCQz96B/ik9w7XTSmzRjaVGrDpD8msSZ6jU1RZs+Vi9SLgBQRqQu8jXP4jE9sjUoppWziKFWKqjNm4Lh4kSOPj7FlgqE0zcIDefm2SNYfPM0jn29waw4JH4cPMzrMoGrZqoxcPrJAhuNwJUGkWk9F9wJeNcY8BlS2NyyllLKPf/36nLutL+f/+IOYd+19OK1b08o80bUh3248yktLd7hVNsAvgNeufw2AB39+MN/vbPJ2YZ8k69mHO/n/aw8+9oXkOUlJSRw6dIj4+JwnCg8ICGDbNvvOSeYXO/rh7+9PeHg4Pj5F4mNXyiUXr76aqrGxnJg1i9KtW1O6ZQvb2hp2bW2iYs7z2vI91Agpw22tq+VcyFK9fHVmdpzJ0CVDGb1iNG/e8CY+Xvnzf9GVBHE3cB8wzRizT0RqAXPtDcszDh06RLly5ahZsyY5DUB77tw5ypUrl0+R2cfT/TDGEBMTw6FDh6hVq5bH6lWqwFlzWcdv3sLhRx6h9pdf4BUYaFNTwpRbmnDo1EXGfbGJ8MBSXFW3gsvlW4W1YvJVkxn32zim/jWVyVdNzvE7zRNceQ5iqzX+0nzr/T5jzHO2R+YB8fHxhISE5MsvsrgSEUJCQlw6ClOqqPEqV46qM2aQfPIkR8aNt3WwPB8vB68NaEmtCmW47+M17D4e51b5m+rcxL3N7uXL3V8yZ/Mcm6L8t+yeg/jM+nnpeYj0S75E5wGaHPJOf4eqOCvVtAlhjz5C3LJlnProI1vbKu/vw5xBV+Dr7eDuD1a5ffvrg5EP0q1mN2auncmSqCU2Rfn/sjuCeNj6efnzEPochFKqWAm6807KdupE9AsvcmHdOlvbqhZcmnfubM3xswkM+WC1WwP7iQhTr55K89DmjPttHOuO2xtrds9BHLV+7k+/4Jz+82pboypmvvrqK0SE7du3F0j7Bw8epGPHjkRERNC4cWNmzZp1aVtsbCydO3emXr16dO7cmVM2DYmsVGEmIlSZ/gw+lSpxeNRokmPtnX6mRfUgZt/ekk2Hz/DgvLUkpbh+q62flx+vdnqVSmUqMfzn4ew9Y9/AftmdYiovImNFZLaI3ChOI3DOAXGbbREVQ/Pnz+fqq69m/vz5BdK+t7c3L730Elu3buWvv/7itddeY+vWrQA8++yzXH/99ezatYvrr7+eZ599tkBiVKqgeQUEUHXWTFJiY53jNaXYOw5S54gwnr61Kct3nHB7ytIg/yDeuOENvB3e3L/0fs4k23P7a3Z3Mc0FTgF/AvcA4wABbjXGrLclGhtN/mYLW49kPSZKSkoKXl5ebtUZUaU8E29qnO0+cXFx/PbbbyxfvpybbrqJyZMnA5Camsrw4cNZtmwZ1apVw8fHh8GDB9OnTx/WrFnD6NGjiYuLo0KFCnzwwQdUrpz7R08qV658qXy5cuVo1KgRhw8fJiIigq+//poVK1YAcNddd9GhQweee65I3IOglMeVatyYsCfHc2zCRE6+/gahI4bb2t7tbatz7Gw8r/y8i7Dy/jxyYwOXy1YrV43Xb3idu3+4m7dPvE2P1B54Odz7DstJdgmitjGmKYCIvAscBaobY/R2Fjd8/fXXdO3alfr16xMSEsKaNWto1aoVX3zxBVFRUWzdupXjx4/TqFEjBg8eTFJSEiNGjODrr78mNDSUTz/9lPHjxzNnzr/vWpg3bx4vvPBChvZq1qzJV199lWU8UVFRrFu3jrZt2wIQHR19KXlUqlSJ6Ohoz3VeqSIosG9fLq5Zy8nXX6dUZCRlr7H3jPqoG+px/Gw8ry7bTVh5f+64sobLZRuHNGZGhxms27DO48kBsk8Ql8bDNcakiMihopwccvpL367nIObPn8/DDzuv9/fr14/58+fTqlUrfvvtN/r27YvD4aBSpUp07NgRgB07drB582Y6d+4MOI9sMjt6GDBgAAMGDMi0H1mJi4ujd+/ezJw5k/Lly2fYLiJ6x5Iq8USESpMmEr9tG0cee4xaXyzCp0oVW9t7+tYmnDiXwISvNxNazo8ujSu5XP7qqleTvMu9GexclV2CaC4iaedkBChlvRfAGGMyfsOof4mNjWXZsmVs2rQJESElJQURyfQv/zTGGBo3bsyff/6Zbd3uHkEkJSXRu3dvBgwYQK9e/z9TbFhYGEePHqVy5cocPXqUihUrut5BpYopR6lSVJ01k6g+fTk0ahQ1585FfH1ta8/by8Grt7fg9nf+5qH56/j4nrZcUTPYtvZcld1dTF7GmPLWUs4Y453utSYHFyxcuJCBAweyf/9+oqKiOHjwILVq1WLlypW0b9+eRYsWkZqaSnR09KXrAA0aNODEiROXEkRSUhJbtmzJUPeAAQNYv359hmXu3IwPuRtjGDJkCI0aNWL06NH/2nbzzTfz4YcfAvDhhx9yyy23ePi3oFTR5FerFpWnTSN+w0ain3ve9vZK+3ozZ9AVVA0sxZAPVrs9j4QdXBmsT+XS/Pnz6dmz57/W9e7dm/nz59O7d2/Cw8OJiIjgjjvuoGXLlgQEBODr68vChQsZM2YMzZs3JzIykj/++CNPcfz+++/MnTuXZcuWERkZSWRkJN999x0ATzzxBEuXLqVevXr89NNPPPHEE3lqS6nipHzXLgQPGsSpefM4s9j+eRmCy/jy0ZA2lPb15s45qzgQc8H2NrPjylhMKpeWL1+eYd1DDz106fWLL75I2bJliYmJoU2bNjRt2hSAyMhIfv31V4/FcfXVV2d5C11ISAg///yzx9pSqrip+Mho4rds4eiEifjVr49/w4a2thceVJq5Q9rQ960/GTjnbz6/rx0Vy/nb2mZW9AiiAPXo0YPIyEiuueYannrqKSpVcv3ClFIqf4iPD1VfnoFXQACHRjxEyhn7h9yuF1aOOYOu4PjZBO58bxVnLto3h3Z2NEEUoBUrVrB+/Xq2bt3KoEGDCjocpVQWvCtUIHzWTJKOHePwY4/ZOslQmpbVg3hrYCv2nIhjsJtDcniKJgillHJBqchIKo0fz/lfV3Jy9ux8afPa+qHM6teCdQdOcf/Ha0lMtj8xpacJQimlXBT439sI6N2Lk6+/wblly/Klze5NKzO9V1N+2XmCUZ+uJ8WNaUvzShOEUkq5SESoNGEC/k2acOTxMSTs3Zcv7f73iuqM796IbzcdZewXG92a2zovNEEopZQbHH5+hL8yC/Hx4dCIEaTEuTfxT24NvbY2D3Wqy2f/HOLpb7fZOrlRGk0Q+aCgh/uOj4+nTZs2NG/enMaNGzNx4sRL2/bt20fbtm2pW7cu//3vf0lMTCyQGJUqSnyqVKHqyy+TGBXlHPk1Hy5aA4zqXJ9BV9Vkzu/7ePmnXba3pwkiHxT0cN9+fn4sW7aMDRs2sH79en744Qf++usvAMaMGcOoUaPYvXs3QUFBvPfeewUSo1JFTZkr2xI2dixxy5dz4tVX86VNEWFCjwhuax3OKz/v4rXlu21tr+Q8KPf9E3BsU5abS6Ukg5ebv45KTaFb9vMnFIbhvkWEsmXLAs6hO5KSkhARjDEsW7aMTz75BHAO9z1p0iTuv//+XLelVEkSNOB24rdvI+aNN/Fv0IDyXbva3qbDIUzv1YzE5FRe+HEHvl4O6tnVlk31AiAiXUVkh4jsFpEMYziISHURWS4i66y5rrun2zbWKrdDRLrYGaedMhvuG/jXcN9z587919hLI0aMYOHChaxZs4bBgwczfvz4DPXOmzfv0rAZ6ZeBAwdmGkdKSgqRkZFUrFiRzp0707ZtW2JiYggMDMTb25kYw8PDOXz4sE2/CaWKn7SL1qVatODIE2OJ37YtX9r1cggv9m3Of5pWZtp321i6354H6Ww7ghARL+A1oDNwCFgtIouNMVvT7fYk8Jkx5g0RiQC+A2par/sBjYEqwE8iUt8Yk/spnnL4S/9iMR/u28vLi/Xr13P69Gl69uzJ5s2b9cltpTzA4etL+KuvsK9PXw4++CC1Pv8c75AQ29v19nIws18kiSmprI8+QUqqwcvh2eH67TzF1AbYbYzZCyAiC4BbgPQJwgBpI8MGAEes17cAC4wxCcA+Edlt1Zf9GNiFTGEa7jtNYGAgHTt25IcffuCRRx7h9OnTJCcn4+3tzaFDh6hatarL/VNKOXlXqED47NnsHzCAQw89TI3359g6PHgaHy8Hs29vwS+//Orx5AD2JoiqwMF07w8BbS/bZxKwxJrrugxwQ7qyf11WNsM3l4gMA4aBc16DtCGz0wQEBGQ7gU56KSkpLu/rqo8//ph+/foxa9asS+u6devGjz/+SMuWLfnkk0/o1asXJ0+eZPny5fTs2ZMqVaoQHR3NTz/9RNu2bUlKSmL37t00atToX3XffPPN3HzzzS714+TJk3h7exMYGMjFixf54YcfGDlyJHFxcVxzzTXMnTuXPn368O6779KlS5dMfw/x8fEZfr92i4uLy/c27aJ9KXzs6If/HQMIeG8Oax94kHMDbod8moAr8eJ5ez4TY4wtC9AHeDfd+4HA7Mv2GQ08Yr1uh/PowgHMBu5It997QJ/s2mvVqpW53NatWzOsy8rZs2dd3tdVHTp0MN9///2/1s2aNcvcd999JiUlxdx7772mQYMG5oYbbjDXX3+9WbJkiTHGmHXr1plrrrnGNGvWzERERJi3337b5TYz68eGDRtMZGSkadq0qWncuLGZPHnypW179uwxV1xxhalTp47p06ePiY+Pz7Red36XnrJ8+fJ8b9Mu2pfCx65+RL80w2xt0NDEfPihLfVnJi99Af4xWXyv2nkEcRiolu59uLUuvSFAVwBjzJ8i4g9UcLFsoVdYhvtu1qwZ69aty3Rb7dq1WbVqlcfaUqqkCx35MIn79hE9/Vl8wqtRrlPHgg4p1+y8i2k1UE9EaomIL86LzpfPuHEAuB5ARBoB/sAJa79+IuInIrWAekCx+xbT4b6VKn7E4aDK88/h37gxhx99NN/ubLKDbUcQxphkERkO/Ah4AXOMMVtEZArOQ5rFwCPAOyIyCucF60HWIc8WEfkM5ymnZOBBk5c7mAqp4nAeVymVkaNUKcJff42o2/7Lwfvup+Znn+ETVvTme7f1QTljzHc4b11Nv25CutdbgfZZlJ0GTLMzPqWUsotPxYpUe+tN9ve/nUP330+Nj+fiKF26oMNyiw61oZRSNvFv0IAqM14ifvt2Dj/2OCalaJ0I0QShlFI2Ktehg3PMpp9/5vhLMwo6HLeUnLGYlFKqgAQPvIPEqChi58zBJ7wqwbffXtAhuUSPIPJBQQ/3Dc4nrJs2bUpkZCStW7e+tH7SpElUrVr10lhO3333XTa1KKVyK2zsE5Tt2JHoqU9zdunSgg7HJZog8kFBD/edZvny5axfv55//vnnX+tHjRrF+vXrWb9+Pd27d8+itFIqL8Tbm6ozXqJUs2YceeRRLlgDdxZmJeYU03OrnmN7bNZ/waekpODl5eVWnQ2DGzKmzZhs9ykMw30rpQoHR6lShL/5Bvv7387B+x+g5ifz8Ktbt6DDypIeQdissAz3LSLceOONtGrVirfffvtf22bPnk2zZs0YPHgwp06d8vBvQCmVnndQENXefRfx8+XA0GEkRUcXdEhZKjFHEDn9pX+umA/3/dtvv1G1alWOHz9O586dadiwIddeey33338/Tz31FCLCU089xSOPPMKcOXM81X2lVCZ8w6tS/a232D/wTg4OHUaNeR/jZcP3T16VmARREArTcN9pw3hXrFiRnj17smrVKq699lrCwsIu7TN06FB69OjhYu+UUnnhHxFB+KuvcGDYvRx6cDjV3n0HRz4MEe4OPcVko4ULFzJw4ED2799PVFQUBw8epFatWqxcuZL27duzaNEiUlNTiY6OvjTsRoMGDThx4sS/Tjlt2bIlQ90DBgy4dGE5/TJ37twM+54/f/7SkcX58+dZsmQJTZo0AeDo0aOX9vvyyy8vrVdK2a/MVVdRZfozXFi1iiOF8EE6PYKw0fz58xkz5t+ntnr37s38+fN57bXX+Pnnn4mIiKBatWq0bNmSgIAAfH19WbhwIQ899BBnzpwhOTmZkSNH0rhx41zHER0dTc+ePQFITk7m9ttvp6s1d+7jjz/O+vXrERFq1qzJW2+9lfsOK6XcFnDTTSSfjOH4c89xbGoglSZORPJpHomcaIKwUWEZ7rt27dps2LAh022ZHXEopfJXyN2DSImNJeadd/AODiH0oREFHRKgCaJA9ejRg9OnT5OYmKjDfStVwoWOHkXyqVhOvv46XkFBBA+8o6BD0gRRkHS4b6VUGhGh8qRJpJ45Q/S0aXgFBhJwU8HeNKIXqZVSqpAQb2+qvPgipdu04cjYscR58FRzbmiCUEqpQsTh50f466/hX78+hx56mAtr1xZcLAXWslJKqUx5lS1LtXfexicsjIP33ldg05ZqglBKqULIOySE6u/PwVG2LAeG3EPCvn35HoMmiHxQ0MN979ix41/jNZUvX56ZM2cCOty3UoWZT5UqVH/vPQAODB5C0pEj+dq+Joh8UNDDfTdo0ODSk9Zr1qyhdOnSlx6cAx3uW6nCzK92Laq/9y6pcXEcuHswySdO5FvbJeY212PPPEPCtqz/gk9OSSHWzeG+/Ro1pNK4cdnuU9iG+/7555+pU6cONWrU8Eh9Sin7+TdqRLW33uLAkCEcGHIPNT76EK/AQNvb1SMImxWW4b7TLFiwgP79+/9rnQ73rVThV7plC6q9NpvEffs4MHQYKXFxtrdZYo4gcvpLv7gP9w2QmJjI4sWLmT59+qV1Oty3UkVHmauuouqsmRwa8RAH77uP6u+8g6NUKdvaKzEJoiAUpuG+Ab7//ntatmz5ryG+dbhvpYqWcp06UfWF5zn86GMcenA44W+8bltbeorJRoVluO808+fPz3B6SYf7VqroKd+9O5Wffprzf/zB4ZGjwKZhwvUIwkaFZbhvcM4DsXTp0gzDeetw30oVTYG9epIaf5HoKVMJOHMG06ED4uaNNjnRBGGjwjLcN0CZMmWIiYnJsF6H+1aq6Aq+/XZMfAJ7N28Gh+dPCGmCKEA63LdSKq9CBt/NphUrbJlkSBNEAdLhvpVShVmxv0htjCnoEIo8/R0qVTIV6wTh7+9PTEyMfsHlgTGGmJgY/P39CzoUpVQ+K9anmMLDwzl06BAnXBi7JD4+vlh8CdrRD39/f8LDwz1ap1Kq8CvWCcLHx4datWq5tO+KFSto0aKFzRHZr7j0QylV8Ir1KSallFK5pwlCKaVUpjRBKKWUypQUlzt8ROQEsD8PVVQATnoonIJUXPoB2pfCqrj0pbj0A/LWlxrGmNDMNhSbBJFXIvKPMaZ1QceRV8WlH6B9KayKS1+KSz/Avr7oKSallFKZ0gShlFIqU5og/t/bBR2AhxSXfoD2pbAqLn0pLv0Am/qi1yCUUkplSo8glFJKZUoThFJKqUyV+AQhIl1FZIeI7BaRJwo6HneJSJSIbBKR9SLyj7UuWESWisgu62dQQceZGRGZIyLHRWRzunWZxi5Or1if00YRaVlwkf9bFv2YJCKHrc9lvYh0T7dtrNWPHSLSpWCizpyIVBOR5SKyVUS2iMjD1vqi+Llk1Zci9dmIiL+IrBKRDVY/Jlvra4nI31a8n4qIr7Xez3q/29peM9eNG2NK7AJ4AXuA2oAvsAGIKOi43OxDFFDhsnXPA09Yr58AnivoOLOI/VqgJbA5p9iB7sD3gABXAn8XdPw59GMS8Ggm+0ZY/878gFrWvz+vgu5DuvgqAy2t1+WAnVbMRfFzyaovReqzsX63Za3XPsDf1u/6M6Cftf5N4H7r9QPAm9brfsCnuW27pB9BtAF2G2P2GmMSgQXALQUckyfcAnxovf4QuLXgQsmaMeZXIPay1VnFfgvwkXH6CwgUkcr5EmgOsuhHVm4BFhhjEowx+4DdOP8dFgrGmKPGmLXW63PANqAqRfNzyaovWSmUn431u42z3vpYiwE6AQut9Zd/Jmmf1ULgesnlfKQlPUFUBQ6me3+I7P8BFUYGWCIia0RkmLUuzBhz1Hp9DAgrmNByJavYi+JnNdw67TIn3Wm+ItMP69REC5x/sRbpz+WyvkAR+2xExEtE1gPHgaU4j25OG2OSrV3Sx3qpH9b2M0BIbtot6QmiOLjaGNMS6AY8KCLXpt9onMeZRfJe5qIcO/AGUAeIBI4CLxVoNG4SkbLAImCkMeZs+m1F7XPJpC9F7rMxxqQYYyKBcJxHNQ3zo92SniAOA9XSvQ+31hUZxpjD1s/jwJc4//FEpx3mWz+PF1yEbssq9iL1WRljoq3/1KnAO/z/qYpC3w8R8cH5hTrPGPOFtbpIfi6Z9aUofzbGmNPAcqAdztN5aZO+pY/1Uj+s7QFATG7aK+kJYjVQz7obwBfnBZ3FBRyTy0SkjIiUS3sN3AhsxtmHu6zd7gK+LpgIcyWr2BcDd1p3zVwJnEl3yqPQuew8fE+cnws4+9HPutOkFlAPWJXf8WXFOlf9HrDNGDMj3aYi97lk1Zei9tmISKiIBFqvSwGdcV5PWQ70sXa7/DNJ+6z6AMusoz73FfQV+oJecN6FsRPnOb3xBR2Pm7HXxnnXxQZgS1r8OM83/gzsAn4Cggs61izin4/zED8J5znUIVnFjvNOjtesz2kT0Lqg48+hH3OtODda/2Erp9t/vNWPHUC3go7/sr5cjfP00UZgvbV0L6KfS1Z9KVKfDdAMWGfFuxmYYK2vjTOB7QY+B/ys9f7W+93W9tq5bVuH2lBKKZWpkn6KSSmlVBY0QSillMqUJgillFKZ0gShlFIqU5oglFJKZUoThFI5EJGXRWRkuvc/isi76d6/JCKj3axzkog8ar0eJCJV0m2LEpEKHghdqTzRBKFUzn4HrgIQEQdQAWicbvtVwB95qH8QUCWnnZTKb5oglMrZHziHNgBnYtgMnBORIBHxAxoBRkR+sQZN/DHdsBRDRWS1NZb/IhEpnb5iEekDtAbmWXMTlLI2jRCRteKc6yNfxt1R6nKaIJTKgTHmCJAsItVxHi38iXNU0HY4v9y3AS8DfYwxrYA5wDSr+BfGmCuMMc2t/YZcVvdC4B9ggDEm0hhz0dp00jgHYXwDeNTWDiqVBe+cd1FK4TyKuMpaZuAcUvkqnEMpH8Y5DtZSa9h9L5xDbwA0EZGngUCgLPCji+2lDZK3BuiV9/CVcp8mCKVck3YdoinOU0wHgUeAs8AKoKoxpl0m5T4AbjXGbBCRQUAHF9tLsH6moP9PVQHRU0xKueYPoAcQa5xDRcfiPCpoh3OwvlARaQfOIaZFJO0idjngqDXs9IAs6j5n7adUoaIJQinXbMJ599Jfl607Y5xzcfQBnhORDThHDb3K2ucpnNcrfge2Z1H3B8Cbl12kVqrA6WiuSimlMqVHEEoppTKlCUIppVSmNEEopZTKlCYIpZRSmdIEoZRSKlOaIJRSSmVKE4RSSqlM/R/c7q9EJ3XsegAAAABJRU5ErkJggg==\n", + "text/plain": [ + "

    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot portfolio rule\n", + "eevalgrid = np.linspace(0,300,100)\n", + "plt.figure()\n", + "# In the last period of life you consume everything\n", + "# so portfolio choice is irrelevant\n", + "\n", + "# Ages\n", + "ages = age_plot_params\n", + "age_born = time_params['Age_born']\n", + "for a in ages:\n", + " plt.plot(eevalgrid,\n", + " agent.solution[a-age_born].ShareFuncAdj(eevalgrid/norm_factor[a-age_born]),\n", + " label = 'Age = %i' %(a))\n", + "plt.xlabel('Wealth')\n", + "plt.ylabel('Risky portfolio share')\n", + "plt.title('Risky Portfolio Policy Function')\n", + "plt.legend()\n", + "plt.grid()\n", + "\n", + "if not in_ipynb():\n", + " plt.show(block=False) \n", + " plt.pause(1)\n", + "else:\n", + " plt.show(block=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We present the author's originally reported policy functions for comparison\n", + "
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Consumption behavior\n", + "\n", + "The plot below shows the policy function for consumption as a function of wealth at different ages.\n", + "\n", + "At all age levels consumption increases with wealth. The consumption function also appears to shift upwards as life progresses.\n", + "\n", + "Our consumption policy functions again do not match those of the original paper, which are also reproduced below. Consumption also appears to increase with age in our policy functions that does not come through in the results presented in the paper. " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot consumption function\n", + "plt.figure()\n", + "ages = age_plot_params\n", + "for a in ages:\n", + " plt.plot(eevalgrid,\n", + " agent.solution[a-age_born].cFuncAdj(eevalgrid/norm_factor[a-age_born])*norm_factor[a-age_born],\n", + " label = 'Age = %i' %(a))\n", + "plt.xlabel('Wealth')\n", + "plt.ylabel('Consumption')\n", + "plt.title('Consumption Policy Function')\n", + "plt.legend()\n", + "plt.grid()\n", + "\n", + "if not in_ipynb():\n", + " plt.show(block=False) \n", + " plt.pause(1)\n", + "else:\n", + " plt.show(block=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We again present the author's originally reported policy functions for comparison\n", + "
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Simulations\n", + "\n", + "Using the policy functions obtained from solving the model we present a series of simulations to highlight features of the model.\n", + "\n", + "We first run a few simulations to verify the quality of our calibration.\n", + "\n", + "The figures below show simulated levels of permanent income and risky portfolio shares for 5 agents over their life spans. We can see the model generates a heterogeneous permanent income distribution. Interestingly, all of these agents tend to follow the same general pattern for investing in the risky asset. Early in life, all of their portfolios are invested in the risky asset. This declines as the agent ages and converges to approximately 35% once they reach retirement." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "title": "A Simulation" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Set up simulation parameters\n", + "\n", + "# Number of agents and periods in the simulation.\n", + "agent.AgentCount = 5 # Number of instances of the class to be simulated.\n", + "# Since agents can die, they are replaced by a new agent whenever they do.\n", + "\n", + "# Number of periods to be simulated\n", + "agent.T_sim = 80\n", + "\n", + "# Set up the variables we want to keep track of.\n", + "agent.track_vars = ['aNrmNow','cNrmNow', 'pLvlNow', 't_age', 'ShareNow','mNrmNow']\n", + "\n", + "# Run the simulations\n", + "agent.initializeSim()\n", + "agent.simulate()\n", + "\n", + "# Present diagnostic plots.\n", + "plt.figure()\n", + "plt.plot(agent.history['t_age']+time_params['Age_born'], agent.history['pLvlNow'],'.')\n", + "plt.xlabel('Age')\n", + "plt.ylabel('Permanent income')\n", + "plt.title('Simulated Income Paths')\n", + "plt.grid()\n", + "\n", + "if not in_ipynb():\n", + " plt.show(block=False) \n", + " plt.pause(1)\n", + "else:\n", + " plt.show(block=True)\n", + "\n", + "plt.figure()\n", + "plt.plot(agent.history['t_age']+time_params['Age_born'], agent.history['ShareNow'],'.')\n", + "plt.xlabel('Age')\n", + "plt.ylabel('Risky share')\n", + "plt.title('Simulated Risky Portfolio Shares')\n", + "plt.grid()\n", + "\n", + "if not in_ipynb():\n", + " plt.show(block=False) \n", + " plt.pause(1)\n", + "else:\n", + " plt.show(block=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "lines_to_next_cell": 2 + }, + "source": [ + "#### The average life cycle patterns\n", + "\n", + "We now increase the number of simulations to examine and compare the behavior of the mean values of variables of interest at different ages, conditional on survival. In each case we present the original plots from the paper for reference.\n", + "\n", + "The plot below illustrates the average dynamics of permanent income, consumption, and market resources across all of the simulated agents. The plot follows the general pattern observed in the original paper. However, our results show that the agents are accumulating significantly more market resources. " + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "title": "Collect results in a DataFrame" + }, + "outputs": [], + "source": [ + "# Number of agents and periods in the simulation.\n", + "agent.AgentCount = 50 # Number of instances of the class to be simulated.\n", + "# Since agents can die, they are replaced by a new agent whenever they do.\n", + "\n", + "# Number of periods to be simulated\n", + "agent.T_sim = 80*50\n", + "\n", + "# Run the simulations\n", + "agent.initializeSim()\n", + "agent.simulate()\n", + "\n", + "raw_data = {'Age': agent.history['t_age'].flatten()+time_params['Age_born'] - 1,\n", + " 'pIncome': agent.history['pLvlNow'].flatten(),\n", + " 'rShare': agent.history['ShareNow'].flatten(),\n", + " 'nrmM': agent.history['mNrmNow'].flatten(),\n", + " 'nrmC': agent.history['cNrmNow'].flatten()}\n", + "\n", + "Data = pd.DataFrame(raw_data)\n", + "Data['Cons'] = Data.nrmC * Data.pIncome\n", + "Data['M'] = Data.nrmM * Data.pIncome\n", + "\n", + "# Find the mean of each variable at every age\n", + "AgeMeans = Data.groupby(['Age']).mean().reset_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "title": "Simulation Plots" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "plt.plot(AgeMeans.Age, AgeMeans.pIncome,\n", + " label = 'Income')\n", + "plt.plot(AgeMeans.Age, AgeMeans.M,\n", + " label = 'Market resources')\n", + "plt.plot(AgeMeans.Age, AgeMeans.Cons,\n", + " label = 'Consumption')\n", + "plt.legend()\n", + "plt.xlabel('Age')\n", + "plt.title('Variable Means Conditional on Survival')\n", + "plt.grid()\n", + "\n", + "if not in_ipynb():\n", + " plt.show(block=False) \n", + " plt.pause(1)\n", + "else:\n", + " plt.show(block=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
    " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Find age percentiles\n", + "AgePC5 = Data.groupby(['Age']).quantile(0.05).reset_index()\n", + "AgePC95 = Data.groupby(['Age']).quantile(0.95).reset_index()\n", + "\n", + "# plot till death - 1 \n", + "age_1 = time_params['Age_death'] - time_params['Age_born']\n", + "\n", + "plt.figure()\n", + "plt.ylim([0, 1.1])\n", + "plt.plot(AgeMeans.Age[:age_1], AgeMeans.rShare[:age_1], label = 'Mean')\n", + "plt.plot(AgePC5.Age[:age_1], AgePC5.rShare[:age_1], '--r', label='Perc. 5')\n", + "plt.plot(AgePC95.Age[:age_1], AgePC95.rShare[:age_1], '--g', label = 'Perc. 95')\n", + "plt.legend()\n", + "\n", + "plt.xlabel('Age')\n", + "plt.ylabel('Risky Share')\n", + "plt.title('Risky Portfolio Share Mean Conditional on Survival')\n", + "plt.grid()\n", + "\n", + "if not in_ipynb():\n", + " plt.show(block=False) \n", + " plt.pause(1)\n", + "else:\n", + " plt.show(block=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Other results in the original paper\n", + "\n", + "#### The welfare implications of different allocation rules\n", + "\n", + "The authors next conduct a welfare analysis of different allocation rules, including popular heuristics. The rules are presented in the next figure.\n", + "\n", + "
    \n", + "\n", + "The utility cost of each policy in terms of constant consumption streams with respect to the authors calculated optimal policy function is reported in the next table.\n", + "\n", + "
    \n", + "\n", + "Interestingly, the \"no-income\" column corresponds to the usual portfolio choice result of the optimal share being the quotient of excess returns and risk times relative risk aversion, disregarding labor income. The experiment shows this allocation produces substantial welfare losses.\n", + "\n", + "#### Heterogeneity and sensitivity analysis\n", + "\n", + "The authors also considered a number of extensions to the baseline model. These are summarized below along with their main conclusions.\n", + "\n", + "- Labor income risk: Income risk may vary across employment sectors relative to the baseline model. The authors examine extreme cases for industries that have a large standard deviation and temporary income shocks. While some differences appear across sectors, the results are generally in line with the baseline model.\n", + "- Disastrous labor income shocks: The authors find that even a small probability of zero labor income lowers the optimal portfolio allocation in stocks, while the qualitative features of the baseline model are preserved.\n", + "- Uncertain retirement income: The authors consider two types of uncertainty for retirement income; it is stochastic and correlated with current stock market performance and allowing for disastrous labor income draws before retirement. The first extension has results essentially the same as the baseline case. The second leads to more conservative portfolio allocations but is broadly consistent with the baseline model.\n", + "- Endogenous borrowing constraints: The authors add borrowing to their model by building on credit-market imperfections. They find that the average investor borrows about \\$5,000 and are in debt for most of their working life. The agents eventually pay off this debt and save for retirement. Relative to the benchmark model, the investor has put less of their money in their portfolio and arrive at retirement with substantially less wealth. These results are particularly pronounced at the lower end of the income distribution relative to the higher end. Additional details are available in the text.\n", + "- Bequest motive: The authors introduce a bequest motive into the agent's utility function (i.e., $b>0$). Young investors are more impatient and tend to save less for bequests. As the agent ages, savings increases and is strongest once the agent retires. This leads to effects on the agent's portfolio allocation. Taking a step-back however, these effects are not very large unless $b$ is large.\n", + "- Educational attainment: The authors generally find that savings are consistent across education groups. They note that for a given age, the importance of future income is increasing with education level. This implies that riskless asset holdings are larger for these households.\n", + "- Risk aversion and intertemporal substitution: Lowering the level of risk aversion in the model leads to changes in the optimal portfolio allocation and wealth accumulation. Less risk-averse investors accumulate less precautionary savings and invest more in risky assets.\n", + "\n", + "### Conclusion\n", + "\n", + "This article provides a dynamic model with accurate lifetime income profiles in which labor income increases risky asset holdings, as it is seen as a closer substitute of risk-free assets. It finds an optimal risky asset share that decreases in wealth and with age, after middle age. The model is also used to show that ignoring labor income for portfolio allocation can generate substantial welfare losses." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Puzzles and Questions\n", + "\n", + "- Table 4 says stock returns are $0.06$. They might mean that the equity premium $\\mu$ is $0.06$.\n", + "- The authors report taking the normalization $v_{i,t} = 1$. However the ranges of their results seem more consistent with $v_{i,t} = 0$ so that $\\exp (v_{i,t}) = 1$, which also makes more sense for interpretation.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Robustness Analyses\n", + "\n", + "Given the differences between our results and the original paper, we did a number of checks to ensure our model was behaving consistently with well-established theoretical results. Specifically we checked:\n", + "- For an infinitely lived agent with log normal returns, that their optimal portfolio allocation converges to the Campbell-Viceira (2002) approximation to the optimal portfolio share in Merton-Samuelson (1969) model.\n", + "- For an infinitely lived agent with no labor income that can only invest in a single risky asset, that their marginal propensity to consumer converges to the theoretical MPC of Merton-Samuelson (1969).\n", + "- For an agent facing no labor income risk, that their consumption patterns precisely match the results from a perfect foresight solution.\n", + "\n", + "In all three cases, we verified that our HARK model holds up to these results. More details and specific results are available upon request. \n", + "\n", + "As the HARK toolkit continues to develop, there are additional sensitivities that we can perform to further check the credibility of our results. Specifically, once human wealth is available in the $\\texttt{PortfolioConsumerType}$ class, we can perform the following additional checks, which were kindly suggested by Professor Sylvain Catherine:\n", + "- Shut down the income risk and remove retirement income. The solution to this new problem are provided by Merton 1971. Basically, you capitalize future earnings as an endowment of risk free asset. Then the equity share should be such that Equity/(Wealth+NPV of Human capital) is the same as the equity share in Merton 1969.\n", + "- Adding back the permanent income risk and check if the equity share is consistent with Viceira 2001. Viceira tells you something like this: $\\pi = \\frac{\\mu - r}{\\gamma \\sigma^2_s} + \\left(\\frac{\\mu - r}{\\gamma \\sigma^2_s} - \\beta_{HC} \\right) \\frac{HC}{W}$, where $\\beta_{HC} = \\frac{\\text{Cov}(r_{HC},r_s)}{\\text{Var}(r_s)}$. In the CGM problem it is easy to compute $\\beta_{HC}$ because earnings follow a simple random walk. HC is the NPV of human capital, which you can approximate very well by discounting expected earnings by $r+\\beta_{HC}*(rm-r)$." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Bibliographic entry of the original article" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'\\n@article{10.1093/rfs/hhi017,\\n author = {Cocco, João F. and Gomes, Francisco J. and Maenhout, Pascal J.},\\n title = \"{Consumption and Portfolio Choice over the Life Cycle}\",\\n journal = {The Review of Financial Studies},\\n volume = {18},\\n number = {2},\\n pages = {491-533},\\n year = {2005},\\n month = {02},\\n abstract = \"{This article solves a realistically calibrated life cycle model of consumption and portfolio choice with non-tradable labor income and borrowing constraints. Since labor income substitutes for riskless asset holdings, the optimal share invested in equities is roughly decreasing over life. We compute a measure of the importance of human capital for investment behavior. We find that ignoring labor income generates large utility costs, while the cost of ignoring only its risk is an order of magnitude smaller, except when we allow for a disastrous labor income shock. Moreover, we study the implications of introducing endogenous borrowing constraints in this incomplete-markets setting.}\",\\n issn = {0893-9454},\\n doi = {10.1093/rfs/hhi017},\\n url = {https://doi.org/10.1093/rfs/hhi017},\\n eprint = {http://oup.prod.sis.lan/rfs/article-pdf/18/2/491/24421441/hhi017.pdf},\\n}\\n'" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "### Bibtex entry\n", + "'''\n", + "@article{10.1093/rfs/hhi017,\n", + " author = {Cocco, João F. and Gomes, Francisco J. and Maenhout, Pascal J.},\n", + " title = \"{Consumption and Portfolio Choice over the Life Cycle}\",\n", + " journal = {The Review of Financial Studies},\n", + " volume = {18},\n", + " number = {2},\n", + " pages = {491-533},\n", + " year = {2005},\n", + " month = {02},\n", + " abstract = \"{This article solves a realistically calibrated life cycle model of consumption and portfolio choice with non-tradable labor income and borrowing constraints. Since labor income substitutes for riskless asset holdings, the optimal share invested in equities is roughly decreasing over life. We compute a measure of the importance of human capital for investment behavior. We find that ignoring labor income generates large utility costs, while the cost of ignoring only its risk is an order of magnitude smaller, except when we allow for a disastrous labor income shock. Moreover, we study the implications of introducing endogenous borrowing constraints in this incomplete-markets setting.}\",\n", + " issn = {0893-9454},\n", + " doi = {10.1093/rfs/hhi017},\n", + " url = {https://doi.org/10.1093/rfs/hhi017},\n", + " eprint = {http://oup.prod.sis.lan/rfs/article-pdf/18/2/491/24421441/hhi017.pdf},\n", + "}\n", + "'''" + ] + } + ], + "metadata": { + "jupytext": { + "encoding": "# -*- coding: utf-8 -*-", + "formats": "ipynb,py:percent", + "notebook_metadata_filter": "all" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + }, + "latex_envs": { + "LaTeX_envs_menu_present": true, + "autoclose": false, + "autocomplete": true, + "bibliofile": "biblio.bib", + "cite_by": "apalike", + "current_citInitial": 1, + "eqLabelWithNumbers": true, + "eqNumInitial": 1, + "hotkeys": { + "equation": "Ctrl-E", + "itemize": "Ctrl-I" + }, + "labels_anchors": false, + "latex_user_defs": false, + "report_style_numbering": false, + "user_envs_cfg": false + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/Code/Python/CGMPortfolio.py b/Code/Python/CGMPortfolio.py new file mode 100644 index 0000000..15d6bd6 --- /dev/null +++ b/Code/Python/CGMPortfolio.py @@ -0,0 +1,556 @@ +# -*- coding: utf-8 -*- +# --- +# jupyter: +# jupytext: +# formats: ipynb,py:percent +# notebook_metadata_filter: all +# text_representation: +# extension: .py +# format_name: percent +# format_version: '1.3' +# jupytext_version: 1.14.4 +# kernelspec: +# display_name: Python 3 (ipykernel) +# language: python +# name: python3 +# language_info: +# codemirror_mode: +# name: ipython +# version: 3 +# file_extension: .py +# mimetype: text/x-python +# name: python +# nbconvert_exporter: python +# pygments_lexer: ipython3 +# version: 3.9.12 +# latex_envs: +# LaTeX_envs_menu_present: true +# autoclose: false +# autocomplete: true +# bibliofile: biblio.bib +# cite_by: apalike +# current_citInitial: 1 +# eqLabelWithNumbers: true +# eqNumInitial: 1 +# hotkeys: +# equation: Ctrl-E +# itemize: Ctrl-I +# labels_anchors: false +# latex_user_defs: false +# report_style_numbering: false +# user_envs_cfg: false +# --- + +# %% [markdown] +# # Cocco, Gomes, & Maenhout (2005) +# +# # "[Consumption and Portfolio Choice Over the Life Cycle](https://academic.oup.com/rfs/article-abstract/18/2/491/1599892)" +# +# - Notebook created by [Mateo Velásquez-Giraldo](https://github.com/Mv77) and [Matthew Zahn](https://sites.google.com/view/matthew-v-zahn/matthew-v-zahn). +# +# This notebook uses the [Econ-ARK/HARK](https://github.com/econ-ark/hark) toolkit to describe the main results and reproduce the figures in the linked paper. The main HARK tool used here is the $\texttt{PortfolioConsumerType}$ class. For an introduction to this module, see the [HARK's Documentation](https://hark.readthedocs.io/en/latest/). +# +# Our results using the HARK toolkit resemble those of the original paper, but we have not been able to replicate its results exactly for reasons that we have not been able to track down. We suspect there might be subtleties in the normalization or calibration that we have missed and that could be causing the discrepancies. We would be thankful if a reader (or the original authors) were able to discover the reason for the discrepancies, and could issue a pull request for a revision that reconciles them. +# +# We thank Chris Carroll and Sylvain Catherine for comments and guidance. + +# %% +# This cell does some preliminary set up + +# Packages +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd + +# Import relevenat HARK tools +import HARK.ConsumptionSaving.ConsPortfolioModel as cpm + +# This is a jupytext paired notebook that autogenerates BufferStockTheory.py +# which can be executed from a terminal command line via "ipython BufferStockTheory.py" +# But a terminal does not permit inline figures, so we need to test jupyter vs terminal +# Google "how can I check if code is executed in the ipython notebook" +from IPython import get_ipython # In case it was run from python instead of ipython + +# If the ipython process contains 'terminal' assume not in a notebook +def in_ipynb(): + try: + if 'terminal' in str(type(get_ipython())): + return False + else: + return True + except NameError: + return False + +# Determine whether to make the figures inline (for spyder or jupyter) +# vs whatever is the automatic setting that will apply if run from the terminal +if in_ipynb(): + # # %matplotlib inline generates a syntax error when run from the shell + # so do this instead + get_ipython().run_line_magic('matplotlib', 'inline') +else: + get_ipython().run_line_magic('matplotlib', 'auto') + +# %% [markdown] +# ### The base model +# +# The authors' aim is to represent the life cycle of a consumer that is exposed to uninsurable labor income risk and how he chooses to allocate his savings between a risky and a safe asset, without the possibility to borrow or short-sell. +# +# ##### Dynamic problem +# +# The problem of an agent $i$ of age $t$ in the base model is recursively represented as +# +# \begin{split} +# V_{i,t} =& \max_{0\leq C_{i,t} \leq X_{i,t}, \alpha_{i,t}\in[0,1]} U(C_{i,t}) + \delta p_t E_t\{ V_{i,t+1} (X_{i,t+1}) \}\\ +# &\text{s.t}\\ +# &X_{i,t+1} = Y_{i,t+1} + (X_{i,t} - C_{i,t})(\alpha_{i,t} R_{t+1} + (1-\alpha_{i,t})\bar{R}_f) +# \end{split} +# +# where $C_{i,t}$ is consumption, $\alpha_{i,t}$ is the share of savings allocated to the risky asset, $Y_{i,t}$ is labor income, and $X_{i,t}$ represents wealth. The utility function $U(\cdot)$ is assumed to be CRRA in the base model. Extensions beyond the baseline model include an additively separable bequest motive in the utility function. The discount factor is $\delta$ and $p_t$ is the probability of survival from $t$ to $t+1$. Death is certain at a maximum period $T$. +# +# Note that the consumer cannot borrow or short-sell. +# +# The control variables in the problem are $\{C_{it}, \alpha_{it}\}^T_{t=1}$ and the state variables are $\{t, X_{it}, v_{it} \}^T_{t=1}$. The agent solves for policy rules as a function of the state variables—$C_{it}(X_{it}, v_{it})$ and $\alpha_{it}(X_{it}, v_{it})$. +# +# #### Labor income +# +# An important driver of the paper's results is the labor income process. It is specified as follows: +# +# \begin{equation} +# \log Y_{i,t} = f(t,Z_{i,t}) + v_{i,t} + \epsilon_{i,t}, \quad \text{for } t\leq K. +# \end{equation} +# +# where $K$ is the (exogenous) age of retirement, $Z_{i,t}$ are demographic characteristics, $\epsilon_{i,t}\sim \mathcal{N}(0,\sigma^2_\epsilon)$ is a transitory shock, and $v_{i,t}$ is a permanent component following a random walk +# +# \begin{equation} +# v_{i,t} = v_{i,t-1} + u_{i,t} = v_{i,t-1} + \xi_t + \omega_{i,t} +# \end{equation} +# +# in which the innovation is decomposed into an aggregate ($\xi_t$) and an idiosyncratic component ($\omega_{i,t}$), both following mean-0 normal distributions. +# +# Post-retirement income is a constant fraction $\lambda$ of permanent income in the last working year $K$. +# +# A crucial aspect of the labor income process is that $f(\cdot,\cdot)$ is calibrated to match income profiles in the PSID, capturing the usual humped shape of income across lifetime. +# +# #### Matching labor income in HARK +# +# In HARK's consumption-saving models, the income process takes the form +# \begin{equation} +# \ln Y_t = \ln P_t + \ln \theta_t +# \end{equation} +# where $P_t$ represents permanent income and $\ln \theta_t \sim N(0,\sigma_\theta)$ transitory shocks to income. Permanent income evolves according to +# \begin{equation} +# \ln P_{t+1} = \ln \Gamma_{t+1} + \ln \psi_{t+1} + \ln P_t +# \end{equation} +# where $\Gamma_{t+1}$ is a deterministic growth factor, and $\ln \psi_{t+1} \sim N(0,\sigma_\psi)$ a permanent income shock. +# +# +# To represent the author's assumptions in HARK, we express both income processes as sums of deterministic components and i.i.d shocks +# \begin{align} +# \text{Cocco et. al} &\quad& \ln Y_{i,t} &=& f(t,Z_{i,t}) + v_{i,0} &+&\sum_{k=1}^t u_{i,k} &+&\qquad \varepsilon_{i,t} \\ +# \text{HARK} &\quad& \ln Y_{i,t} &=& \ln P_{i,0} + \sum_{k=1}^t \ln \Gamma_k &+&\sum_{k=1}^t \ln \psi_{i,k} &+& \qquad \ln \theta_{i,t}. +# \end{align} +# +# These representations make evident the mapping that we use +# +# |HARK | Cocco et. al | +# | :---: | :-----------: | +# | $\ln$ $P_{i,0}$ | $f(0,Z_{i,0})$ + $v_{i,0}$ | +# | $\ln$ $\Gamma_{t+1}$| $f(t+1$, $Z_{i,t+1})$ - $f(t,Z_{i,t})$| +# |$\ln$ $\psi_{i,k}$| $u_{i,k}$| +# |$\ln$ $\theta_{i,t}$| $\varepsilon_{i,t}$| +# +# and to achieve a retirement income that is equal to a fraction $\lambda$ of permanent income in the last working period $K$, we simply make $\Gamma_{K+1} = \lambda$ and $\Gamma_{t} = 1$ $\forall t>K+1$. +# +# #### Assets and their returns +# +# There are two assets available for consumers to allocate their savings. +# +# - Bonds: paying a risk-free return $\bar{R}_f$. +# +# - Stocks: paying a stochastic return $R_t = \bar{R}_f + \mu + \eta_t$, where the stochastic component $\eta_t \sim \mathcal{N}(0, \sigma^2_\eta)$ is allowed to be correlated with the aggregate labor income innovation $\xi_t$. +# +# The borrowing and short-selling constraints ensure that agents cannot allocate negative dollars to either of these assets or borrow against future labor income or retirement wealth. Recall $\alpha_{i,t}$ is the proportion of the investor's savings that are invested in the risky asset. The model's constraints imply that $\alpha_{i,t}\in[0,1]$ and wealth is non-negative. +# +# +# ### Calibration—Summary +# +# The paper defines and calibrates several parameters which can be broken down into the following categories: +# +# __1. Preferences and life cycle__ +# +# | Parameter | Description | Code | Value | +# |:---:| --- | --- | :---: | +# | $\delta$ | Time Preference Factor | $\texttt{DiscFac}$ | 0.96 | +# | $\gamma$ | Coefficient of Relative Risk Aversion| $\texttt{CRRA}$ | 10 | +# | $p_t$ | Survival Probability | $\texttt{LivPrb}$ | [0.6809,0.99845] | +# | $t_0$ | Starting Age | $\texttt{t_start}$ | 20 | +# | $t_r$ | Retirement Age | $\texttt{t_ret}$ | 65 | +# | $T$ | Maximum Age | $\texttt{t_end}$ | 100 | +# +# __2. Income process and the finanical assets__ +# +# | Parameter | Description | Code | Value| +# |:---:| --- | --- | :---: | +# | $f(t,Z_{i,t})$| Average income at each stage of life | $\texttt{det_income}$ | $ \exp($0.530339 + 0.16818 $t$+ (0.0323371/10) $t^2$ + (0.0019704/100) $t^3)$ | +# | $\lambda$ | Last Period Labor Income Share for Retirement | $\texttt{repl_fac}$ | 0.68212 | +# | $\log \Gamma$ | Permanent Income Growth Factor | $\texttt{PermGroFac}$ | $\{\log f_{t+1} - \log f_t\}^{t_r+1}_{t=20}$ | +# | $\mathsf{R}$ | Interest Factor | $\texttt{Rfree}$ | 1.02 | +# | $\mu$ | Average Stock Return | $\texttt{RiskyDstnFunc}$ \& $\texttt{RiskyDrawFunc}$ | 1.06 | +# | $\sigma_\eta$ | Std Dev of Stock Returns | $\texttt{RiskyDstnFunc}$ \& $\texttt{RiskyDrawFunc}$ | 0.157 | +# +# +# __3. Shocks__ +# +# | Parameter | Description | Code | Value | +# |:---:| --- | --- | :---: | +# | $\sigma_v$ | Std Dev of Log Permanent Shock| $\texttt{PermShkStd}$ | 0.102956 | +# | $\sigma_\epsilon$ | Std Dev of Log Transitory Shock| $\texttt{TranShkStd}$ | 0.27166 | +# +# +# For reference, the authors' source Fortran code that includes these paramerization details is available on [Gomes' personal page](http://faculty.london.edu/fgomes/research.html). Code that solves the model is also available in [Julia](https://github.com/econ-ark/HARK/issues/114#issuecomment-371891418). + +# %% [markdown] +# ### Calibration in our implementation. +# +# We replicate the previously defined parameter values and transition processes for state variables and shocks, and format them into the structures required by HARK. +# +# This is done in the external file [Calibration/params.py](https://github.com/matthew-zahn/CGMPort/blob/master/CGMPort-Shared/Code/Python/Calibration/params.py), which we now import. + +# %% +# Calibrate the model in line with the information above +import sys,os +# The following code navigates to another directory where a python script with the parameters for the model is saved. +sys.path.append(os.path.realpath('Calibration/')) +# Loading the parameters from the Calibration/params.py script +from params import dict_portfolio, time_params, det_income, age_plot_params + + +# %% [markdown] +# All of the model's parameters are contained in the structure dict_portfolio, which can now be passed to HARK's PortfolioConsumerType to build and solve a representation of our problem. + +# %% +# Solve the model with the given parameters +agent = cpm.PortfolioConsumerType(**dict_portfolio) +agent.solve() + +# %% [markdown] +# ### A note on normalization +# +# The problem as specified above makes the value function homogeneous with respect to permanent labor income. This is convenient as it allows for a re-statement of the problem in variables that are normalized by permanent income or its random components, eliminating a state variable. +# +# The authors report (page 497) taking the normalization $v_{i,t} = 1$. This amounts to defining normalized variables $\tilde{\cdot}$ as the original variable divided by $e^{v_{i,t}-1}$. For instance: +# +# \begin{equation} +# \tilde{Y_{i,t}} = \frac{Y_{i,t}}{\exp(v_{i,t}-1)} = \frac{\exp (f(t,Z_{i,t}) + v_{i,t} + \varepsilon_{i,t})}{\exp(v_{i,t}-1)} = \exp( f(t,Z_{i,t}) + 1 + \varepsilon_{i,t} ) +# \end{equation} +# +# These normalized variables have the convenient interpretation of the state that things would be in if, it weren't for permanent shocks. The author's depictions of policy functions are presented in terms of these normalized variables. +# +# On the other hand, HARK normalizes the problem by total permanent income $P_t = \exp (f(t,Z_{i,t}) + v_{i,t})$ and its solution objects are therefore in terms of normalized variables $\hat{\cdot}$, defined as +# \begin{equation} +# \hat{X_{i,t}} = \frac{X_{i,t}}{P_{i,t}} = \frac{X_{i,t}}{\exp (f(t,Z_{i,t}) + v_{i,t})}. +# \end{equation} +# +# Therefore, to present our results in a way consistent with that of the original authors, we would use the following relationship +# \begin{equation} +# \tilde{X_{i,t}} = \hat{X_{i,t}} \times \exp (f(t,Z_{i,t})+1) +# \end{equation} +# +# However, our results are much more consistent with those of the original authors when we take the normalization $v_{i,t} = 0$, which also make sense since it makes the random-walk multiplicative part of permanent income $\exp{v_{i,t}}=1$. We therefore assume this is a typo, take $v_{i,t} = 0$, document this issue in the \textbf{Puzzles} section below, and use the relationship +# \begin{equation} +# \tilde{X_{i,t}} = \hat{X_{i,t}} \times \exp (f(t,Z_{i,t})). +# \end{equation} +# +# The next cell defines our normalization factor + +# %% +# Define a normalization factor +norm_factor = det_income*np.exp(0) + +# %% [markdown] +# ### Key Results +# +# #### The optimal risky asset share +# +# The plot below shows the policy function for the risky portfolio share as a function of wealth at different ages. +# +# The optimal risky share is decreasing in wealth. The authors argue this is due to the fact that, at low levels of wealth, relatively safe human wealth represents a higher fraction of the consumer's wealth, so he shifts his tradeable wealth towards riskier alternatives. +# +# Analyzing the policy rule by age also shows that the risky share increases from young to middle age, and decreases from middle to old age. This is consistent with the previous interpretation: shares trace the humped shape of labor earnings. +# +# These estimates are different from what is produced in the original paper, which are also reproduced below. Generally, the policy functions do not share the same curvature, which leads to greater reductions in the optimal portfolio share at lower levels of wealth. + +# %% +# Plot portfolio rule +eevalgrid = np.linspace(0,300,100) +plt.figure() +# In the last period of life you consume everything +# so portfolio choice is irrelevant + +# Ages +ages = age_plot_params +age_born = time_params['Age_born'] +for a in ages: + plt.plot(eevalgrid, + agent.solution[a-age_born].ShareFuncAdj(eevalgrid/norm_factor[a-age_born]), + label = 'Age = %i' %(a)) +plt.xlabel('Wealth') +plt.ylabel('Risky portfolio share') +plt.title('Risky Portfolio Policy Function') +plt.legend() +plt.grid() + +if not in_ipynb(): + plt.show(block=False) + plt.pause(1) +else: + plt.show(block=True) + +# %% [markdown] +# We present the author's originally reported policy functions for comparison +#
    + +# %% [markdown] +# #### Consumption behavior +# +# The plot below shows the policy function for consumption as a function of wealth at different ages. +# +# At all age levels consumption increases with wealth. The consumption function also appears to shift upwards as life progresses. +# +# Our consumption policy functions again do not match those of the original paper, which are also reproduced below. Consumption also appears to increase with age in our policy functions that does not come through in the results presented in the paper. + +# %% +# Plot consumption function +plt.figure() +ages = age_plot_params +for a in ages: + plt.plot(eevalgrid, + agent.solution[a-age_born].cFuncAdj(eevalgrid/norm_factor[a-age_born])*norm_factor[a-age_born], + label = 'Age = %i' %(a)) +plt.xlabel('Wealth') +plt.ylabel('Consumption') +plt.title('Consumption Policy Function') +plt.legend() +plt.grid() + +if not in_ipynb(): + plt.show(block=False) + plt.pause(1) +else: + plt.show(block=True) + +# %% [markdown] +# We again present the author's originally reported policy functions for comparison +#
    + +# %% [markdown] +# ### Simulations +# +# Using the policy functions obtained from solving the model we present a series of simulations to highlight features of the model. +# +# We first run a few simulations to verify the quality of our calibration. +# +# The figures below show simulated levels of permanent income and risky portfolio shares for 5 agents over their life spans. We can see the model generates a heterogeneous permanent income distribution. Interestingly, all of these agents tend to follow the same general pattern for investing in the risky asset. Early in life, all of their portfolios are invested in the risky asset. This declines as the agent ages and converges to approximately 35% once they reach retirement. + +# %% A Simulation +# Set up simulation parameters + +# Number of agents and periods in the simulation. +agent.AgentCount = 5 # Number of instances of the class to be simulated. +# Since agents can die, they are replaced by a new agent whenever they do. + +# Number of periods to be simulated +agent.T_sim = 80 + +# Set up the variables we want to keep track of. +agent.track_vars = ['aNrmNow','cNrmNow', 'pLvlNow', 't_age', 'ShareNow','mNrmNow'] + +# Run the simulations +agent.initializeSim() +agent.simulate() + +# Present diagnostic plots. +plt.figure() +plt.plot(agent.history['t_age']+time_params['Age_born'], agent.history['pLvlNow'],'.') +plt.xlabel('Age') +plt.ylabel('Permanent income') +plt.title('Simulated Income Paths') +plt.grid() + +if not in_ipynb(): + plt.show(block=False) + plt.pause(1) +else: + plt.show(block=True) + +plt.figure() +plt.plot(agent.history['t_age']+time_params['Age_born'], agent.history['ShareNow'],'.') +plt.xlabel('Age') +plt.ylabel('Risky share') +plt.title('Simulated Risky Portfolio Shares') +plt.grid() + +if not in_ipynb(): + plt.show(block=False) + plt.pause(1) +else: + plt.show(block=True) + +# %% [markdown] +# #### The average life cycle patterns +# +# We now increase the number of simulations to examine and compare the behavior of the mean values of variables of interest at different ages, conditional on survival. In each case we present the original plots from the paper for reference. +# +# The plot below illustrates the average dynamics of permanent income, consumption, and market resources across all of the simulated agents. The plot follows the general pattern observed in the original paper. However, our results show that the agents are accumulating significantly more market resources. + + +# %% Collect results in a DataFrame +# Number of agents and periods in the simulation. +agent.AgentCount = 50 # Number of instances of the class to be simulated. +# Since agents can die, they are replaced by a new agent whenever they do. + +# Number of periods to be simulated +agent.T_sim = 80*50 + +# Run the simulations +agent.initializeSim() +agent.simulate() + +raw_data = {'Age': agent.history['t_age'].flatten()+time_params['Age_born'] - 1, + 'pIncome': agent.history['pLvlNow'].flatten(), + 'rShare': agent.history['ShareNow'].flatten(), + 'nrmM': agent.history['mNrmNow'].flatten(), + 'nrmC': agent.history['cNrmNow'].flatten()} + +Data = pd.DataFrame(raw_data) +Data['Cons'] = Data.nrmC * Data.pIncome +Data['M'] = Data.nrmM * Data.pIncome + +# Find the mean of each variable at every age +AgeMeans = Data.groupby(['Age']).mean().reset_index() + +# %% Simulation Plots +plt.figure() +plt.plot(AgeMeans.Age, AgeMeans.pIncome, + label = 'Income') +plt.plot(AgeMeans.Age, AgeMeans.M, + label = 'Market resources') +plt.plot(AgeMeans.Age, AgeMeans.Cons, + label = 'Consumption') +plt.legend() +plt.xlabel('Age') +plt.title('Variable Means Conditional on Survival') +plt.grid() + +if not in_ipynb(): + plt.show(block=False) + plt.pause(1) +else: + plt.show(block=True) + +# %% [markdown] +#
    + +# %% +# Find age percentiles +AgePC5 = Data.groupby(['Age']).quantile(0.05).reset_index() +AgePC95 = Data.groupby(['Age']).quantile(0.95).reset_index() + +# plot till death - 1 +age_1 = time_params['Age_death'] - time_params['Age_born'] + +plt.figure() +plt.ylim([0, 1.1]) +plt.plot(AgeMeans.Age[:age_1], AgeMeans.rShare[:age_1], label = 'Mean') +plt.plot(AgePC5.Age[:age_1], AgePC5.rShare[:age_1], '--r', label='Perc. 5') +plt.plot(AgePC95.Age[:age_1], AgePC95.rShare[:age_1], '--g', label = 'Perc. 95') +plt.legend() + +plt.xlabel('Age') +plt.ylabel('Risky Share') +plt.title('Risky Portfolio Share Mean Conditional on Survival') +plt.grid() + +if not in_ipynb(): + plt.show(block=False) + plt.pause(1) +else: + plt.show(block=True) + +# %% [markdown] +#
    + +# %% [markdown] +# ### Other results in the original paper +# +# #### The welfare implications of different allocation rules +# +# The authors next conduct a welfare analysis of different allocation rules, including popular heuristics. The rules are presented in the next figure. +# +#
    +# +# The utility cost of each policy in terms of constant consumption streams with respect to the authors calculated optimal policy function is reported in the next table. +# +#
    +# +# Interestingly, the "no-income" column corresponds to the usual portfolio choice result of the optimal share being the quotient of excess returns and risk times relative risk aversion, disregarding labor income. The experiment shows this allocation produces substantial welfare losses. +# +# #### Heterogeneity and sensitivity analysis +# +# The authors also considered a number of extensions to the baseline model. These are summarized below along with their main conclusions. +# +# - Labor income risk: Income risk may vary across employment sectors relative to the baseline model. The authors examine extreme cases for industries that have a large standard deviation and temporary income shocks. While some differences appear across sectors, the results are generally in line with the baseline model. +# - Disastrous labor income shocks: The authors find that even a small probability of zero labor income lowers the optimal portfolio allocation in stocks, while the qualitative features of the baseline model are preserved. +# - Uncertain retirement income: The authors consider two types of uncertainty for retirement income; it is stochastic and correlated with current stock market performance and allowing for disastrous labor income draws before retirement. The first extension has results essentially the same as the baseline case. The second leads to more conservative portfolio allocations but is broadly consistent with the baseline model. +# - Endogenous borrowing constraints: The authors add borrowing to their model by building on credit-market imperfections. They find that the average investor borrows about \$5,000 and are in debt for most of their working life. The agents eventually pay off this debt and save for retirement. Relative to the benchmark model, the investor has put less of their money in their portfolio and arrive at retirement with substantially less wealth. These results are particularly pronounced at the lower end of the income distribution relative to the higher end. Additional details are available in the text. +# - Bequest motive: The authors introduce a bequest motive into the agent's utility function (i.e., $b>0$). Young investors are more impatient and tend to save less for bequests. As the agent ages, savings increases and is strongest once the agent retires. This leads to effects on the agent's portfolio allocation. Taking a step-back however, these effects are not very large unless $b$ is large. +# - Educational attainment: The authors generally find that savings are consistent across education groups. They note that for a given age, the importance of future income is increasing with education level. This implies that riskless asset holdings are larger for these households. +# - Risk aversion and intertemporal substitution: Lowering the level of risk aversion in the model leads to changes in the optimal portfolio allocation and wealth accumulation. Less risk-averse investors accumulate less precautionary savings and invest more in risky assets. +# +# ### Conclusion +# +# This article provides a dynamic model with accurate lifetime income profiles in which labor income increases risky asset holdings, as it is seen as a closer substitute of risk-free assets. It finds an optimal risky asset share that decreases in wealth and with age, after middle age. The model is also used to show that ignoring labor income for portfolio allocation can generate substantial welfare losses. + +# %% [markdown] +# ### Puzzles and Questions +# +# - Table 4 says stock returns are $0.06$. They might mean that the equity premium $\mu$ is $0.06$. +# - The authors report taking the normalization $v_{i,t} = 1$. However the ranges of their results seem more consistent with $v_{i,t} = 0$ so that $\exp (v_{i,t}) = 1$, which also makes more sense for interpretation. +# + +# %% [markdown] +# ### Robustness Analyses +# +# Given the differences between our results and the original paper, we did a number of checks to ensure our model was behaving consistently with well-established theoretical results. Specifically we checked: +# - For an infinitely lived agent with log normal returns, that their optimal portfolio allocation converges to the Campbell-Viceira (2002) approximation to the optimal portfolio share in Merton-Samuelson (1969) model. +# - For an infinitely lived agent with no labor income that can only invest in a single risky asset, that their marginal propensity to consumer converges to the theoretical MPC of Merton-Samuelson (1969). +# - For an agent facing no labor income risk, that their consumption patterns precisely match the results from a perfect foresight solution. +# +# In all three cases, we verified that our HARK model holds up to these results. More details and specific results are available upon request. +# +# As the HARK toolkit continues to develop, there are additional sensitivities that we can perform to further check the credibility of our results. Specifically, once human wealth is available in the $\texttt{PortfolioConsumerType}$ class, we can perform the following additional checks, which were kindly suggested by Professor Sylvain Catherine: +# - Shut down the income risk and remove retirement income. The solution to this new problem are provided by Merton 1971. Basically, you capitalize future earnings as an endowment of risk free asset. Then the equity share should be such that Equity/(Wealth+NPV of Human capital) is the same as the equity share in Merton 1969. +# - Adding back the permanent income risk and check if the equity share is consistent with Viceira 2001. Viceira tells you something like this: $\pi = \frac{\mu - r}{\gamma \sigma^2_s} + \left(\frac{\mu - r}{\gamma \sigma^2_s} - \beta_{HC} \right) \frac{HC}{W}$, where $\beta_{HC} = \frac{\text{Cov}(r_{HC},r_s)}{\text{Var}(r_s)}$. In the CGM problem it is easy to compute $\beta_{HC}$ because earnings follow a simple random walk. HC is the NPV of human capital, which you can approximate very well by discounting expected earnings by $r+\beta_{HC}*(rm-r)$. + +# %% [markdown] +# ### Bibliographic entry of the original article + +# %% +### Bibtex entry +''' +@article{10.1093/rfs/hhi017, + author = {Cocco, João F. and Gomes, Francisco J. and Maenhout, Pascal J.}, + title = "{Consumption and Portfolio Choice over the Life Cycle}", + journal = {The Review of Financial Studies}, + volume = {18}, + number = {2}, + pages = {491-533}, + year = {2005}, + month = {02}, + abstract = "{This article solves a realistically calibrated life cycle model of consumption and portfolio choice with non-tradable labor income and borrowing constraints. Since labor income substitutes for riskless asset holdings, the optimal share invested in equities is roughly decreasing over life. We compute a measure of the importance of human capital for investment behavior. We find that ignoring labor income generates large utility costs, while the cost of ignoring only its risk is an order of magnitude smaller, except when we allow for a disastrous labor income shock. Moreover, we study the implications of introducing endogenous borrowing constraints in this incomplete-markets setting.}", + issn = {0893-9454}, + doi = {10.1093/rfs/hhi017}, + url = {https://doi.org/10.1093/rfs/hhi017}, + eprint = {http://oup.prod.sis.lan/rfs/article-pdf/18/2/491/24421441/hhi017.pdf}, +} +''' diff --git a/Code/Python/Calibration/params.py b/Code/Python/Calibration/params.py new file mode 100644 index 0000000..ea71527 --- /dev/null +++ b/Code/Python/Calibration/params.py @@ -0,0 +1,40 @@ +from .params_init import dict_portfolio, time_params, Mu, Rfree, Std, det_income, norm_factor, age_plot_params, repl_fac, a, b1, b2, b3, std_perm_shock, std_tran_shock +import numpy as np +time_params['Age_born'] = 27 +dict_portfolio['T_age'] = time_params['Age_death'] - time_params['Age_born'] + 1 +dict_portfolio['T_cycle'] = time_params['Age_death'] - time_params['Age_born'] +dict_portfolio['T_retire'] = time_params['Age_retire'] - time_params['Age_born'] + 1 +dict_portfolio['T_sim'] = (time_params['Age_death'] - time_params['Age_born'] + 1)*50 +f = np.arange(time_params['Age_born'], time_params['Age_retire'] + 1, 1) +f = a + b1*f + b2*(f**2) + b3*(f**3) +det_work_inc = np.exp(f) +det_ret_inc = repl_fac*det_work_inc[-1]*np.ones(time_params['Age_death'] - time_params['Age_retire']) +det_income = np.concatenate((det_work_inc, det_ret_inc)) +gr_fac = np.exp(np.diff(np.log(det_income))) +std_tran_vec = np.array([std_tran_shock]*(time_params['Age_death'] - time_params['Age_born'])) +std_perm_vec = np.array([std_perm_shock]*(time_params['Age_death'] - time_params['Age_born'])) +dict_portfolio['PermGroFac'] = gr_fac.tolist() +dict_portfolio['pLvlInitMean'] = np.log(det_income[0]) +dict_portfolio['TranShkStd'] = std_tran_vec +dict_portfolio['PermShkStd'] = std_perm_vec +time_params['Age_retire'] = 65 +dict_portfolio['T_age'] = time_params['Age_death'] - time_params['Age_born'] + 1 +dict_portfolio['T_cycle'] = time_params['Age_death'] - time_params['Age_born'] +dict_portfolio['T_retire'] = time_params['Age_retire'] - time_params['Age_born'] + 1 +dict_portfolio['T_sim'] = (time_params['Age_death'] - time_params['Age_born'] + 1)*50 +f = np.arange(time_params['Age_born'], time_params['Age_retire'] + 1, 1) +f = a + b1*f + b2*(f**2) + b3*(f**3) +det_work_inc = np.exp(f) +det_ret_inc = repl_fac*det_work_inc[-1]*np.ones(time_params['Age_death'] - time_params['Age_retire']) +det_income = np.concatenate((det_work_inc, det_ret_inc)) +gr_fac = np.exp(np.diff(np.log(det_income))) +std_tran_vec = np.array([std_tran_shock]*(time_params['Age_death'] - time_params['Age_born'])) +std_perm_vec = np.array([std_perm_shock]*(time_params['Age_death'] - time_params['Age_born'])) +dict_portfolio['PermGroFac'] = gr_fac.tolist() +dict_portfolio['pLvlInitMean'] = np.log(det_income[0]) +dict_portfolio['TranShkStd'] = std_tran_vec +dict_portfolio['PermShkStd'] = std_perm_vec +dict_portfolio['TranShkStd'] = np.array([0.063 , 0.066 , 0.0675, 0.0685, 0.069 , 0.069 , 0.067 , 0.0665, 0.066 , 0.064 , 0.063 , 0.062 , 0.061 , 0.06 , 0.0585, 0.057 , 0.055 , 0.053 , 0.0515, 0.05 , 0.047 , 0.045 , 0.043 , 0.04 ,0.038 , 0.036 , 0.033 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 ,0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 ,0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 , 0.03 ]) +dict_portfolio['PermShkStd'] = np.array([0.15 , 0.122, 0.115, 0.105, 0.093, 0.09 , 0.087, 0.08 , 0.075, 0.075, 0.067, 0.068, 0.061, 0.062, 0.058, 0.06 , 0.058, 0.058, 0.057, 0.056, 0.054, 0.057, 0.059, 0.059, 0.063, 0.066, 0.07 , 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073,0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073,0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073, 0.073]) +age_plot_params = [30, 40, 50, 60, 70, 80, 90] +dict_portfolio['LivPrb'] = dict_portfolio['LivPrb'][(time_params['Age_born'] - 20):(time_params['Age_death'] - 20)] diff --git a/Code/Python/Calibration/params_init.py b/Code/Python/Calibration/params_init.py new file mode 100644 index 0000000..2244549 --- /dev/null +++ b/Code/Python/Calibration/params_init.py @@ -0,0 +1,216 @@ +import numpy as np +# %% Preferences + +# Relative risk aversion +CRRA = 10 +# Discount factor +DiscFac = 0.96 + +# Survival probabilities from the author's Fortran code +n = 80 +survprob = np.zeros(n+1) +survprob[1] = 0.99845 +survprob[2] = 0.99839 +survprob[3] = 0.99833 +survprob[4] = 0.9983 +survprob[5] = 0.99827 +survprob[6] = 0.99826 +survprob[7] = 0.99824 +survprob[8] = 0.9982 +survprob[9] = 0.99813 +survprob[10] = 0.99804 +survprob[11] = 0.99795 +survprob[12] = 0.99785 +survprob[13] = 0.99776 +survprob[14] = 0.99766 +survprob[15] = 0.99755 +survprob[16] = 0.99743 +survprob[17] = 0.9973 +survprob[18] = 0.99718 +survprob[19] = 0.99707 +survprob[20] = 0.99696 +survprob[21] = 0.99685 +survprob[22] = 0.99672 +survprob[23] = 0.99656 +survprob[24] = 0.99635 +survprob[25] = 0.9961 +survprob[26] = 0.99579 +survprob[27] = 0.99543 +survprob[28] = 0.99504 +survprob[29] = 0.99463 +survprob[30] = 0.9942 +survprob[31] = 0.9937 +survprob[32] = 0.99311 +survprob[33] = 0.99245 +survprob[34] = 0.99172 +survprob[35] = 0.99091 +survprob[36] = 0.99005 +survprob[37] = 0.98911 +survprob[38] = 0.98803 +survprob[39] = 0.9868 +survprob[40] = 0.98545 +survprob[41] = 0.98409 +survprob[42] = 0.9827 +survprob[43] = 0.98123 +survprob[44] = 0.97961 +survprob[45] = 0.97786 +survprob[46] = 0.97603 +survprob[47] = 0.97414 +survprob[48] = 0.97207 +survprob[49] = 0.9697 +survprob[50] = 0.96699 +survprob[51] = 0.96393 +survprob[52] = 0.96055 +survprob[53] = 0.9569 +survprob[54] = 0.9531 +survprob[55] = 0.94921 +survprob[56] = 0.94508 +survprob[57] = 0.94057 +survprob[58] = 0.9357 +survprob[59] = 0.93031 +survprob[60] = 0.92424 +survprob[61] = 0.91717 +survprob[62] = 0.90922 +survprob[63] = 0.90089 +survprob[64] = 0.89282 +survprob[65] = 0.88503 +survprob[66] = 0.87622 +survprob[67] = 0.86576 +survprob[68] = 0.8544 +survprob[69] = 0.8423 +survprob[70] = 0.82942 +survprob[71] = 0.8154 +survprob[72] = 0.80002 +survprob[73] = 0.78404 +survprob[74] = 0.76842 +survprob[75] = 0.75382 +survprob[76] = 0.73996 +survprob[77] = 0.72464 +survprob[78] = 0.71057 +survprob[79] = 0.6961 +survprob[80] = 0.6809 + +# Fix indexing problem (fortran starts at 1, python at 0) +survprob = np.delete(survprob, [0]) +# Now we have 80 probabilities of death, +# for ages 20 to 99. + +# Labor income + +# They assume its a polinomial of age. Here are the coefficients +a=-2.170042+2.700381 +b1=0.16818 +b2=-0.0323371/10 +b3=0.0019704/100 + +time_params = {'Age_born': 20, 'Age_retire': 65, 'Age_death': 100} +t_start = time_params['Age_born'] +t_ret = time_params['Age_retire'] # We are currently interpreting this as the last period of work +t_end = time_params['Age_death'] + +# They assume retirement income is a fraction of labor income in the +# last working period +repl_fac = 0.68212 + +# Compute average income at each point in (working) life +f = np.arange(t_start, t_ret+1,1) +f = a + b1*f + b2*(f**2) + b3*(f**3) +det_work_inc = np.exp(f) + +# Retirement income +det_ret_inc = repl_fac*det_work_inc[-1]*np.ones(t_end - t_ret) + +# Get a full vector of the deterministic part of income +det_income = np.concatenate((det_work_inc, det_ret_inc)) + +# ln Gamma_t+1 = ln f_t+1 - ln f_t +gr_fac = np.exp(np.diff(np.log(det_income))) + +# Now we have growth factors for T_end-1 periods. + +# Finally define the normalization factor used by CGM, for plots. +# ### IMPORTANT ### +# We adjust this normalization factor for what we believe is a typo in the +# original article. See the REMARK jupyter notebook for details. +norm_factor = det_income * np.exp(0) + +# %% Shocks + +# Transitory and permanent shock variance from the paper +std_tran_shock = np.sqrt(0.0738) +std_perm_shock = np.sqrt(0.0106) + +# Vectorize. (HARK turns off these shocks after T_retirement) +std_tran_vec = np.array([std_tran_shock]*(t_end-t_start)) +std_perm_vec = np.array([std_perm_shock]*(t_end-t_start)) + +# %% Financial instruments + +# Risk-free factor +Rfree = 1.02 + +# Creation of risky asset return distributions + +Mu = 0.06 # Equity premium +Std = 0.157 # standard deviation of rate-of-return shocks + +RiskyAvg = Mu + Rfree +RiskyStd = Std + +# Make a dictionary to specify the rest of params +dict_portfolio = { + # Usual params + 'CRRA': CRRA, + 'Rfree': Rfree, + 'DiscFac': DiscFac, + + # Life cycle + 'T_age' : t_end-t_start+1, # Time of death + 'T_cycle' : t_end-t_start, # Number of non-terminal periods + 'T_retire':t_ret-t_start+1, + 'LivPrb': survprob.tolist(), + 'PermGroFac': gr_fac.tolist(), + 'cycles': 1, + + # Income shocks + 'PermShkStd': std_perm_vec, + 'PermShkCount': 3, + 'TranShkStd': std_tran_vec, + 'TranShkCount': 3, + 'UnempPrb': 0, + 'UnempPrbRet': 0, + 'IncUnemp': 0, + 'IncUnempRet': 0, + 'BoroCnstArt': 0, + 'tax_rate':0.0, + + # Portfolio related params + 'RiskyAvg': RiskyAvg, + 'RiskyStd': RiskyStd, + 'RiskyCount': 3, + 'RiskyShareCount': 30, + + # Grid + 'aXtraMin': 0.001, + 'aXtraMax': 400, + 'aXtraCount': 400, + 'aXtraExtra': [None], + 'aXtraNestFac': 3, + + # General + 'vFuncBool': False, + 'CubicBool': False, + + # Simulation params + 'AgentCount': 10, + 'pLvlInitMean' : np.log(det_income[0]), # Mean of log initial permanent income (only matters for simulation) + 'pLvlInitStd' : std_perm_shock, # Standard deviation of log initial permanent income (only matters for simulation) + 'T_sim': (t_end - t_start+1)*50, + + # Unused params required for simulation + 'PermGroFacAgg': 1, + 'aNrmInitMean': -50.0, # Agents start with 0 assets (this is log-mean) + 'aNrmInitStd' : 0.0 +} + +age_plot_params = [20, 30, 55, 75] diff --git a/Code/Python/Comparison/ComparePolFuncs.py b/Code/Python/Comparison/ComparePolFuncs.py new file mode 100644 index 0000000..495cc9e --- /dev/null +++ b/Code/Python/Comparison/ComparePolFuncs.py @@ -0,0 +1,161 @@ +# -*- coding: utf-8 -*- +""" +Created on Sun Dec 1 13:43:31 2019 + +@author: Mateo +""" + +import numpy as np + +import HARK.ConsumptionSaving.ConsPortfolioModel as cpm + +# Plotting tools +import matplotlib.pyplot as plt +import seaborn + +# %% Set up figure path +import sys,os + +# Determine if this is being run as a standalone script +if __name__ == '__main__': + # Running as a script + my_file_path = os.path.abspath("../") +else: + # Running from do_ALL + my_file_path = os.path.dirname(os.path.abspath("do_ALL.py")) + my_file_path = os.path.join(my_file_path,"Code/Python/") + +FigPath = os.path.join(my_file_path,"Figures/") + +# %% import Calibration +sys.path.append(my_file_path) +from Calibration.params import dict_portfolio, norm_factor + +# %% Setup + +# Path to fortran output +pathFort = os.path.join(my_file_path,"../Fortran/") + +# Asset grid +npoints = 401 +agrid = np.linspace(4,npoints+3,npoints) + +# number of years +nyears = dict_portfolio['T_cycle'] + +# Initialize consumption, value, and share matrices +# (rows = age, cols = assets) +cons = np.zeros((nyears, npoints)) +val = np.zeros((nyears, npoints)) +share = np.zeros((nyears, npoints)) + +# %% Read and split policy functions +for year in range(nyears): + + y = year + 1 + if y < 10: + ystring = '0' + str(y) + else: + ystring = str(y) + + rawdata = np.loadtxt(pathFort + 'year' + ystring + '.txt') + + share[year,:] = rawdata[range(npoints)] + cons[year,:] = rawdata[range(npoints,2*npoints)] + val[year,:] = rawdata[range(2*npoints,3*npoints)] + +# %% Compute HARK's policy functions and store them in the same format +agent = cpm.PortfolioConsumerType(**dict_portfolio) +agent.solve() + +# CGM's fortran code does not output the policy functions for the final period. +# thus len(agent.solve) = nyears + 1 + +# Initialize HARK's counterparts to the policy function matrices +h_cons = np.zeros((nyears, npoints)) +h_share = np.zeros((nyears, npoints)) + +# Fill with HARK's interpolated policy function at the required points +for year in range(nyears): + + h_cons[year,:] = agent.solution[year].cFuncAdj(agrid/norm_factor[year])*norm_factor[year] + h_share[year,:] = agent.solution[year].ShareFuncAdj(agrid/norm_factor[year]) + +# %% Compare the results +cons_error = h_cons - cons +share_error = h_share - share + +## Heatmaps + +# Consumption + +# Find max consumption (for the color map) +cmax = max(np.max(h_cons),np.max(cons)) +f, axes = plt.subplots(1, 3, figsize=(10, 4), sharex=True) +seaborn.despine(left=True) + +seaborn.heatmap(h_cons, ax = axes[0], vmin = 0, vmax = cmax) +axes[0].set_title('HARK') +axes[0].set_xlabel('Assets', labelpad = 10) +axes[0].set_ylabel('Age') + +seaborn.heatmap(cons, ax = axes[1], vmin = 0, vmax = cmax) +axes[1].set_title('CGM') +axes[1].set_xlabel('Assets', labelpad = 10) +axes[1].set_ylabel('Age') + +seaborn.heatmap(cons_error, ax = axes[2], center = 0) +axes[2].set_title('HARK - CGM') +axes[2].set_xlabel('Assets', labelpad = 10) +axes[2].set_ylabel('Age') + +f.suptitle('$C(\cdot)$') + +f.tight_layout(rect=[0, 0.027, 1, 0.975]) +f.subplots_adjust(top=0.85) + +# Save figure +figname = 'Cons_Pol_Compare' +plt.savefig(os.path.join(FigPath, figname + '.png')) +plt.savefig(os.path.join(FigPath, figname + '.jpg')) +plt.savefig(os.path.join(FigPath, figname + '.pdf')) +plt.savefig(os.path.join(FigPath, figname + '.svg')) + +plt.ioff() +plt.draw() +plt.pause(1) + +# Risky share +f, axes = plt.subplots(1, 3, figsize=(10, 4), sharex=True) +seaborn.despine(left=True) + +seaborn.heatmap(h_share, ax = axes[0], vmin = 0, vmax = 1) +axes[0].set_title('HARK') +axes[0].set_xlabel('Assets', labelpad = 10) +axes[0].set_ylabel('Age') + +seaborn.heatmap(share, ax = axes[1], vmin = 0, vmax = 1) +axes[1].set_title('CGM') +axes[1].set_xlabel('Assets', labelpad = 10) +axes[1].set_ylabel('Age') + +seaborn.heatmap(share_error, ax = axes[2], center = 0) +axes[2].set_title('HARK - CGM') +axes[2].set_xlabel('Assets', labelpad = 10) +axes[2].set_ylabel('Age') + +f.suptitle('$S(\cdot)$') + +f.tight_layout(rect=[0, 0.027, 1, 0.975]) +f.subplots_adjust(top=0.85) + +# Save figure +figname = 'RShare_Pol_Compare' +plt.savefig(os.path.join(FigPath, figname + '.png')) +plt.savefig(os.path.join(FigPath, figname + '.jpg')) +plt.savefig(os.path.join(FigPath, figname + '.pdf')) +plt.savefig(os.path.join(FigPath, figname + '.svg')) + +plt.ioff() +plt.draw() +plt.pause(1) \ No newline at end of file diff --git a/Code/Python/Comparison/Compare_last_periods.py b/Code/Python/Comparison/Compare_last_periods.py new file mode 100644 index 0000000..b4bd726 --- /dev/null +++ b/Code/Python/Comparison/Compare_last_periods.py @@ -0,0 +1,138 @@ +# -*- coding: utf-8 -*- +""" +Created on Sun Dec 1 13:43:31 2019 + +@author: Mateo +""" + +import numpy as np + +import HARK.ConsumptionSaving.ConsPortfolioModel as cpm + +# Plotting tools +import matplotlib.pyplot as plt + +# %% Set up figure path +import sys,os + +# Determine if this is being run as a standalone script +if __name__ == '__main__': + # Running as a script + my_file_path = os.path.abspath("../") +else: + # Running from do_ALL + my_file_path = os.path.dirname(os.path.abspath("do_ALL.py")) + my_file_path = os.path.join(my_file_path,"Code/Python/") + +FigPath = os.path.join(my_file_path,"Figures/") + +# %% Import calibration +sys.path.append(my_file_path) +from Calibration.params import dict_portfolio, time_params, norm_factor + +# %% Setup + +# Years to compare +n_periods = time_params['Age_death'] - time_params['Age_born'] +years_comp = range(n_periods-2,n_periods) + +# Number of years +nyears = len(years_comp) + +# Path to fortran output +pathFort = os.path.join(my_file_path,"../Fortran/") + +# Asset grid +npoints = 401 +agrid = np.linspace(4,npoints+3,npoints) + +# Initialize consumption, value, and share matrices +# (rows = age, cols = assets) +cons = np.zeros((nyears, npoints)) +val = np.zeros((nyears, npoints)) +share = np.zeros((nyears, npoints)) + +# %% Read and split policy functions +for i in range(len(years_comp)): + + year = years_comp[i] + y = year + 1 + if y < 10: + ystring = '0' + str(y) + else: + ystring = str(y) + + rawdata = np.loadtxt(pathFort + 'year' + ystring + '.txt') + + share[i,:] = rawdata[range(npoints)] + cons[i,:] = rawdata[range(npoints,2*npoints)] + val[i,:] = rawdata[range(2*npoints,3*npoints)] + +# %% Compute HARK's policy functions and store them in the same format +agent = cpm.PortfolioConsumerType(**dict_portfolio) +agent.solve() + +# CGM's fortran code does not output the policy functions for the final period. +# thus len(agent.solve) = nyears + 1 + +# Initialize HARK's counterparts to the policy function matrices +h_cons = np.zeros((nyears, npoints)) +h_share = np.zeros((nyears, npoints)) + +# Fill with HARK's interpolated policy function at the required points +for i in range(len(years_comp)): + + year = years_comp[i] + + h_cons[i,:] = agent.solution[year].cFuncAdj(agrid/norm_factor[year])*norm_factor[year] + h_share[i,:] = agent.solution[year].ShareFuncAdj(agrid/norm_factor[year]) + +# %% Compare the results + +# Plot the CGM and HARK policy functions +# for every requested year +for i in range(len(years_comp)): + + year = years_comp[i] + + f, axes = plt.subplots(2, 2, figsize=(10, 4), sharex=True) + + axes[0,0].plot(agrid,cons[i,:], label = 'CGM') + axes[0,0].plot(agrid,h_cons[i,:], label = 'HARK') + axes[0,0].legend() + axes[0,0].set_title('Cons. Functions') + axes[0,0].grid() + + axes[0,1].plot(agrid,cons[i,:] - h_cons[i,:], label = 'CGM - HARK') + axes[0,1].legend() + axes[0,1].set_title('Cons. Difference') + axes[0,1].grid() + + axes[1,0].plot(agrid,share[i,:], label = 'CGM') + axes[1,0].plot(agrid,h_share[i,:], label = 'HARK') + axes[1,0].legend() + axes[1,0].set_title('Risky Sh. Functions') + axes[1,0].grid() + + axes[1,1].plot(agrid,share[i,:] - h_share[i,:], label = 'CGM - HARK') + axes[1,1].legend() + axes[1,1].set_title('Risky Sh. Difference') + axes[1,1].grid() + + f.suptitle('Year ' + str(year + time_params['Age_born'])) + f.tight_layout(rect=[0, 0.027, 1, 0.975]) + f.subplots_adjust(hspace=.5) + + # Save figure + figname = 'PolFunc_Compare_Y' + str(year + time_params['Age_born']) + plt.savefig(os.path.join(FigPath, figname + '.png')) + plt.savefig(os.path.join(FigPath, figname + '.jpg')) + plt.savefig(os.path.join(FigPath, figname + '.pdf')) + plt.savefig(os.path.join(FigPath, figname + '.svg')) + + plt.ioff() + plt.draw() + plt.pause(1) + +cons_error = h_cons - cons +share_error = h_share - share \ No newline at end of file diff --git a/Code/Python/Simulations/AgeMeans.py b/Code/Python/Simulations/AgeMeans.py new file mode 100644 index 0000000..03c2984 --- /dev/null +++ b/Code/Python/Simulations/AgeMeans.py @@ -0,0 +1,157 @@ +# -*- coding: utf-8 -*- +""" +Created on Tue Dec 10 15:10:36 2019 + +@author: mateo +""" + +import HARK.ConsumptionSaving.ConsPortfolioModel as cpm +import matplotlib.pyplot as plt +import pandas as pd +import numpy as np + +# %% Set up figure path +import sys,os + +# Determine if this is being run as a standalone script +if __name__ == '__main__': + # Running as a script + my_file_path = os.path.abspath("../") +else: + # Running from do_ALL + my_file_path = os.path.dirname(os.path.abspath("do_ALL.py")) + my_file_path = os.path.join(my_file_path,"Code/Python/") + +FigPath = os.path.join(my_file_path,"Figures/") + +# %% Calibration and solution +sys.path.append(my_file_path) +# Loading the parameters from the ../Code/Calibration/params.py script +from Calibration.params import dict_portfolio, time_params + +agent = cpm.PortfolioConsumerType(**dict_portfolio) +agent.solve() + +# %% Run simulation and store results in a data frame + +# Number of agents and periods in the simulation. +agent.AgentCount = 50 # Number of instances of the class to be simulated. +# Since agents can die, they are replaced by a new agent whenever they do. + +# Number of periods to be simulated +agent.T_sim = agent.T_cycle*50 + +# Set up the variables we want to keep track of. +agent.track_vars = ['aNrmNow','cNrmNow', 'pLvlNow', + 't_age', 'ShareNow','mNrmNow'] + + +# Run the simulations +agent.initializeSim() +agent.simulate() + +raw_data = {'Age': agent.history['t_age'].flatten()+time_params['Age_born'] - 1, + 'pIncome': agent.history['pLvlNow'].flatten(), + 'rShare': agent.history['ShareNow'].flatten(), + 'nrmM': agent.history['mNrmNow'].flatten(), + 'nrmC': agent.history['cNrmNow'].flatten()} + +Data = pd.DataFrame(raw_data) +Data['Cons'] = Data.nrmC * Data.pIncome +Data['M'] = Data.nrmM * Data.pIncome + +# Find the mean of each variable at every age +AgeMeans = Data.groupby(['Age']).mean().reset_index() + +# %% Wealth income and consumption + +plt.figure() +plt.plot(AgeMeans.Age, AgeMeans.pIncome, + label = 'Income') +plt.plot(AgeMeans.Age, AgeMeans.M, + label = 'Market resources') +plt.plot(AgeMeans.Age, AgeMeans.Cons, + label = 'Consumption') +plt.legend() +plt.xlabel('Age') +plt.title('Variable Means Conditional on Survival') +plt.grid() + +# Save figure +figname = 'YMC_Means' +plt.savefig(os.path.join(FigPath, figname + '.png')) +plt.savefig(os.path.join(FigPath, figname + '.jpg')) +plt.savefig(os.path.join(FigPath, figname + '.pdf')) +plt.savefig(os.path.join(FigPath, figname + '.svg')) + +plt.ioff() +plt.draw() +plt.pause(1) + +# %% Risky Share + +# Find age percentiles +AgePC5 = Data.groupby(['Age']).quantile(0.05).reset_index() +AgePC95 = Data.groupby(['Age']).quantile(0.95).reset_index() + +# plot till death - 1 +age_1 = time_params['Age_death'] - time_params['Age_born'] + +plt.figure() +plt.ylim([0, 1.1]) +plt.plot(AgeMeans.Age[:age_1], AgeMeans.rShare[:age_1], label = 'Mean') +plt.plot(AgePC5.Age[:age_1], AgePC5.rShare[:age_1], '--r', label='Perc. 5') +plt.plot(AgePC95.Age[:age_1], AgePC95.rShare[:age_1], '--g', label = 'Perc. 95') +plt.legend() + +plt.xlabel('Age') +plt.ylabel('Risky Share') +plt.title('Risky Portfolio Share Mean Conditional on Survival') +plt.grid() + +# Save figure +figname = 'RShare_Means' +plt.savefig(os.path.join(FigPath, figname + '.png')) +plt.savefig(os.path.join(FigPath, figname + '.jpg')) +plt.savefig(os.path.join(FigPath, figname + '.pdf')) +plt.savefig(os.path.join(FigPath, figname + '.svg')) + +plt.ioff() +plt.draw() +plt.pause(1) + + +# %% Risky Share with 100-age rule + +# Find age percentiles +AgePC5 = Data.groupby(['Age']).quantile(0.05).reset_index() +AgePC95 = Data.groupby(['Age']).quantile(0.95).reset_index() + +plt.figure() +plt.ylim([0, 1.1]) +plt.plot(AgeMeans.Age[:age_1], AgeMeans.rShare[:age_1], label = 'Mean') +plt.plot(AgePC5.Age[:age_1], AgePC5.rShare[:age_1], '--r', label='Perc. 5') +plt.plot(AgePC95.Age[:age_1], AgePC95.rShare[:age_1], '--g', label = 'Perc. 95') +# 100 age rule +x = range(time_params['Age_born'], time_params['Age_death']) +y = range(100 - time_params['Age_death'] + 1, 100 - time_params['Age_born'] + 1)[::-1] +y = np.array(y)/100 +plt.plot(x, y, '--', color='orange', label = '100-age rule') +plt.legend() + +plt.xlabel('Age') +plt.ylabel('Risky Share') +plt.title('Risky Portfolio Share Mean Conditional on Survival') +plt.grid() + +# Save figure +figname = 'RShare_Means_100_age' +plt.savefig(os.path.join(FigPath, figname + '.png')) +plt.savefig(os.path.join(FigPath, figname + '.jpg')) +plt.savefig(os.path.join(FigPath, figname + '.pdf')) +plt.savefig(os.path.join(FigPath, figname + '.svg')) + +plt.ioff() +plt.draw() +plt.pause(1) + diff --git a/Code/Python/Simulations/FewAgents.py b/Code/Python/Simulations/FewAgents.py new file mode 100644 index 0000000..f874be7 --- /dev/null +++ b/Code/Python/Simulations/FewAgents.py @@ -0,0 +1,89 @@ +# -*- coding: utf-8 -*- +""" +Created on Tue Dec 10 15:09:28 2019 + +@author: mateo +""" + +import HARK.ConsumptionSaving.ConsPortfolioModel as cpm +import matplotlib.pyplot as plt + +# %% Set up figure path +import sys,os + +# Determine if this is being run as a standalone script +if __name__ == '__main__': + # Running as a script + my_file_path = os.path.abspath("../") +else: + # Running from do_ALL + my_file_path = os.path.dirname(os.path.abspath("do_ALL.py")) + my_file_path = os.path.join(my_file_path,"Code/Python/") + +FigPath = os.path.join(my_file_path,"Figures/") + +# %% Calibration and solution +sys.path.append(my_file_path) +# Loading the parameters from the ../Code/Calibration/params.py script +from Calibration.params import dict_portfolio, time_params + +agent = cpm.PortfolioConsumerType(**dict_portfolio) +agent.solve() + + + +# %% A Simulation +# Set up simulation parameters + +# Number of agents and periods in the simulation. + +# Number of instances of the class to be simulated. +# (a few, so that its easy to visualize) +agent.AgentCount = 5 + +# Number of periods to be simulated +agent.T_sim = agent.T_cycle + +# Set up the variables we want to keep track of. +agent.track_vars = ['aNrmNow','cNrmNow', 'pLvlNow', 't_age', 'ShareNow','mNrmNow'] + +# Run the simulations +agent.initializeSim() +agent.simulate() + +# Present diagnostic plots. +plt.figure() +plt.plot(agent.history['t_age']+time_params['Age_born'], agent.history['pLvlNow'],'.') +plt.xlabel('Age') +plt.ylabel('Permanent income') +plt.title('Simulated Income Paths') +plt.grid() + +# Save figure +figname = 'Y_Sim' +plt.savefig(os.path.join(FigPath, figname + '.png')) +plt.savefig(os.path.join(FigPath, figname + '.jpg')) +plt.savefig(os.path.join(FigPath, figname + '.pdf')) +plt.savefig(os.path.join(FigPath, figname + '.svg')) + +plt.ioff() +plt.draw() +plt.pause(1) + +plt.figure() +plt.plot(agent.history['t_age']+time_params['Age_born'], agent.history['ShareNow'],'.') +plt.xlabel('Age') +plt.ylabel('Risky share') +plt.title('Simulated Risky Portfolio Shares') +plt.grid() + +# Save figure +figname = 'RShare_Sim' +plt.savefig(os.path.join(FigPath, figname + '.png')) +plt.savefig(os.path.join(FigPath, figname + '.jpg')) +plt.savefig(os.path.join(FigPath, figname + '.pdf')) +plt.savefig(os.path.join(FigPath, figname + '.svg')) + +plt.ioff() +plt.draw() +plt.pause(1) \ No newline at end of file diff --git a/Code/Python/Simulations/PolicyFuncs.py b/Code/Python/Simulations/PolicyFuncs.py new file mode 100644 index 0000000..2948ba1 --- /dev/null +++ b/Code/Python/Simulations/PolicyFuncs.py @@ -0,0 +1,87 @@ +# -*- coding: utf-8 -*- +""" +Created on Fri Oct 25 09:56:06 2019 + +@author: Mateo +""" + +import HARK.ConsumptionSaving.ConsPortfolioModel as cpm +import matplotlib.pyplot as plt +import numpy as np + +# %% Set up figure path +import sys,os + +# Determine if this is being run as a standalone script +if __name__ == '__main__': + # Running as a script + my_file_path = os.path.abspath("../") +else: + # Running from do_ALL + my_file_path = os.path.dirname(os.path.abspath("do_ALL.py")) + my_file_path = os.path.join(my_file_path,"Code/Python/") + +FigPath = os.path.join(my_file_path,"Figures/") + +# %% Calibration and solution + +sys.path.append(my_file_path) +# Loading the parameters from the ../Code/Calibration/params.py script +from Calibration.params import dict_portfolio, time_params, norm_factor, age_plot_params + +agent = cpm.PortfolioConsumerType(**dict_portfolio) +agent.solve() + +# %% +# Plot portfolio rule +eevalgrid = np.linspace(0,300,100) + +# In the last period of life you consume everything +# so portfolio choice is irrelevant + +# Ages +ages = age_plot_params +age_born = time_params['Age_born'] +plt.figure() +for a in ages: + plt.plot(eevalgrid, + agent.solution[a-age_born].ShareFuncAdj(eevalgrid/norm_factor[a-age_born]), + label = 'Age = %i' %(a)) +plt.xlabel('Wealth') +plt.ylabel('Risky portfolio share') +plt.legend() +plt.grid() + +# Save figure +figname = 'RShare_Pol' +plt.savefig(os.path.join(FigPath, figname + '.png')) +plt.savefig(os.path.join(FigPath, figname + '.jpg')) +plt.savefig(os.path.join(FigPath, figname + '.pdf')) +plt.savefig(os.path.join(FigPath, figname + '.svg')) + +plt.ioff() +plt.draw() +plt.pause(1) + +# Plot consumption function +plt.figure() +ages = age_plot_params +for a in ages: + plt.plot(eevalgrid, + agent.solution[a-age_born].cFuncAdj(eevalgrid/norm_factor[a-age_born])*norm_factor[a-age_born], + label = 'Age = %i' %(a)) +plt.xlabel('Wealth') +plt.ylabel('Consumption') +plt.legend() +plt.grid() + +# Save figure +figname = 'Cons_Pol' +plt.savefig(os.path.join(FigPath, figname + '.png')) +plt.savefig(os.path.join(FigPath, figname + '.jpg')) +plt.savefig(os.path.join(FigPath, figname + '.pdf')) +plt.savefig(os.path.join(FigPath, figname + '.svg')) + +plt.ioff() +plt.draw() +plt.pause(1) \ No newline at end of file diff --git a/Code/Python/latexdefs.tex b/Code/Python/latexdefs.tex new file mode 100644 index 0000000..a27de87 --- /dev/null +++ b/Code/Python/latexdefs.tex @@ -0,0 +1,16 @@ +\newcommand{\CRRA}{\rho} +\newcommand{\DiscFac}{\beta} +\newcommand{\IncUnemp}{\mu} +\newcommand{\MPC}{\kappa} +\newcommand{\PatFac}{\Phi} +\newcommand{\PatRte}{\phi} +\newcommand{\PermGroFac}{\Gamma} +\newcommand{\PermShkStd}{\sigma_\psi} +\newcommand{\PermShk}{\Psi} % New +\newcommand{\permShk}{\psi} % New +\newcommand{\Rfree}{\mathsf{R}} +\newcommand{\Target}{\check} +\newcommand{\TranShkStd}{\sigma_\theta} +\newcommand{\TranShk}{\Theta} % New +\newcommand{\tranShk}{\theta} % New +\newcommand{\UnempPrb}{\wp} diff --git a/do_MIN.py b/do_MIN.py new file mode 100644 index 0000000..b2c5701 --- /dev/null +++ b/do_MIN.py @@ -0,0 +1,19 @@ +# Runtime ~400 seconds +import sys +sys.path.append('./Code/Python/') + +# %% Set up plot displays +import matplotlib +from IPython import get_ipython +get_ipython().run_line_magic('matplotlib', 'auto') + +# %% Calibration assessment and life cycle simulations + +# 1. Solve the model and display its policy functions +print('1. Solve the model and display its policy functions') +import Simulations.PolicyFuncs + +# 2. Run a larger simulation to display the age conditional means of variables +# of interest. +print('2. Run a larger simulation to display the age conditional means of variables of interest.') +import Simulations.AgeMeans diff --git a/do_all_code.sh b/do_all_code.sh deleted file mode 100755 index d24e685..0000000 --- a/do_all_code.sh +++ /dev/null @@ -1,3 +0,0 @@ -#!/bin/sh - -python cgm_configurator.py config.yaml diff --git a/params_init.py b/params_init.py new file mode 100644 index 0000000..2244549 --- /dev/null +++ b/params_init.py @@ -0,0 +1,216 @@ +import numpy as np +# %% Preferences + +# Relative risk aversion +CRRA = 10 +# Discount factor +DiscFac = 0.96 + +# Survival probabilities from the author's Fortran code +n = 80 +survprob = np.zeros(n+1) +survprob[1] = 0.99845 +survprob[2] = 0.99839 +survprob[3] = 0.99833 +survprob[4] = 0.9983 +survprob[5] = 0.99827 +survprob[6] = 0.99826 +survprob[7] = 0.99824 +survprob[8] = 0.9982 +survprob[9] = 0.99813 +survprob[10] = 0.99804 +survprob[11] = 0.99795 +survprob[12] = 0.99785 +survprob[13] = 0.99776 +survprob[14] = 0.99766 +survprob[15] = 0.99755 +survprob[16] = 0.99743 +survprob[17] = 0.9973 +survprob[18] = 0.99718 +survprob[19] = 0.99707 +survprob[20] = 0.99696 +survprob[21] = 0.99685 +survprob[22] = 0.99672 +survprob[23] = 0.99656 +survprob[24] = 0.99635 +survprob[25] = 0.9961 +survprob[26] = 0.99579 +survprob[27] = 0.99543 +survprob[28] = 0.99504 +survprob[29] = 0.99463 +survprob[30] = 0.9942 +survprob[31] = 0.9937 +survprob[32] = 0.99311 +survprob[33] = 0.99245 +survprob[34] = 0.99172 +survprob[35] = 0.99091 +survprob[36] = 0.99005 +survprob[37] = 0.98911 +survprob[38] = 0.98803 +survprob[39] = 0.9868 +survprob[40] = 0.98545 +survprob[41] = 0.98409 +survprob[42] = 0.9827 +survprob[43] = 0.98123 +survprob[44] = 0.97961 +survprob[45] = 0.97786 +survprob[46] = 0.97603 +survprob[47] = 0.97414 +survprob[48] = 0.97207 +survprob[49] = 0.9697 +survprob[50] = 0.96699 +survprob[51] = 0.96393 +survprob[52] = 0.96055 +survprob[53] = 0.9569 +survprob[54] = 0.9531 +survprob[55] = 0.94921 +survprob[56] = 0.94508 +survprob[57] = 0.94057 +survprob[58] = 0.9357 +survprob[59] = 0.93031 +survprob[60] = 0.92424 +survprob[61] = 0.91717 +survprob[62] = 0.90922 +survprob[63] = 0.90089 +survprob[64] = 0.89282 +survprob[65] = 0.88503 +survprob[66] = 0.87622 +survprob[67] = 0.86576 +survprob[68] = 0.8544 +survprob[69] = 0.8423 +survprob[70] = 0.82942 +survprob[71] = 0.8154 +survprob[72] = 0.80002 +survprob[73] = 0.78404 +survprob[74] = 0.76842 +survprob[75] = 0.75382 +survprob[76] = 0.73996 +survprob[77] = 0.72464 +survprob[78] = 0.71057 +survprob[79] = 0.6961 +survprob[80] = 0.6809 + +# Fix indexing problem (fortran starts at 1, python at 0) +survprob = np.delete(survprob, [0]) +# Now we have 80 probabilities of death, +# for ages 20 to 99. + +# Labor income + +# They assume its a polinomial of age. Here are the coefficients +a=-2.170042+2.700381 +b1=0.16818 +b2=-0.0323371/10 +b3=0.0019704/100 + +time_params = {'Age_born': 20, 'Age_retire': 65, 'Age_death': 100} +t_start = time_params['Age_born'] +t_ret = time_params['Age_retire'] # We are currently interpreting this as the last period of work +t_end = time_params['Age_death'] + +# They assume retirement income is a fraction of labor income in the +# last working period +repl_fac = 0.68212 + +# Compute average income at each point in (working) life +f = np.arange(t_start, t_ret+1,1) +f = a + b1*f + b2*(f**2) + b3*(f**3) +det_work_inc = np.exp(f) + +# Retirement income +det_ret_inc = repl_fac*det_work_inc[-1]*np.ones(t_end - t_ret) + +# Get a full vector of the deterministic part of income +det_income = np.concatenate((det_work_inc, det_ret_inc)) + +# ln Gamma_t+1 = ln f_t+1 - ln f_t +gr_fac = np.exp(np.diff(np.log(det_income))) + +# Now we have growth factors for T_end-1 periods. + +# Finally define the normalization factor used by CGM, for plots. +# ### IMPORTANT ### +# We adjust this normalization factor for what we believe is a typo in the +# original article. See the REMARK jupyter notebook for details. +norm_factor = det_income * np.exp(0) + +# %% Shocks + +# Transitory and permanent shock variance from the paper +std_tran_shock = np.sqrt(0.0738) +std_perm_shock = np.sqrt(0.0106) + +# Vectorize. (HARK turns off these shocks after T_retirement) +std_tran_vec = np.array([std_tran_shock]*(t_end-t_start)) +std_perm_vec = np.array([std_perm_shock]*(t_end-t_start)) + +# %% Financial instruments + +# Risk-free factor +Rfree = 1.02 + +# Creation of risky asset return distributions + +Mu = 0.06 # Equity premium +Std = 0.157 # standard deviation of rate-of-return shocks + +RiskyAvg = Mu + Rfree +RiskyStd = Std + +# Make a dictionary to specify the rest of params +dict_portfolio = { + # Usual params + 'CRRA': CRRA, + 'Rfree': Rfree, + 'DiscFac': DiscFac, + + # Life cycle + 'T_age' : t_end-t_start+1, # Time of death + 'T_cycle' : t_end-t_start, # Number of non-terminal periods + 'T_retire':t_ret-t_start+1, + 'LivPrb': survprob.tolist(), + 'PermGroFac': gr_fac.tolist(), + 'cycles': 1, + + # Income shocks + 'PermShkStd': std_perm_vec, + 'PermShkCount': 3, + 'TranShkStd': std_tran_vec, + 'TranShkCount': 3, + 'UnempPrb': 0, + 'UnempPrbRet': 0, + 'IncUnemp': 0, + 'IncUnempRet': 0, + 'BoroCnstArt': 0, + 'tax_rate':0.0, + + # Portfolio related params + 'RiskyAvg': RiskyAvg, + 'RiskyStd': RiskyStd, + 'RiskyCount': 3, + 'RiskyShareCount': 30, + + # Grid + 'aXtraMin': 0.001, + 'aXtraMax': 400, + 'aXtraCount': 400, + 'aXtraExtra': [None], + 'aXtraNestFac': 3, + + # General + 'vFuncBool': False, + 'CubicBool': False, + + # Simulation params + 'AgentCount': 10, + 'pLvlInitMean' : np.log(det_income[0]), # Mean of log initial permanent income (only matters for simulation) + 'pLvlInitStd' : std_perm_shock, # Standard deviation of log initial permanent income (only matters for simulation) + 'T_sim': (t_end - t_start+1)*50, + + # Unused params required for simulation + 'PermGroFacAgg': 1, + 'aNrmInitMean': -50.0, # Agents start with 0 assets (this is log-mean) + 'aNrmInitStd' : 0.0 +} + +age_plot_params = [20, 30, 55, 75] diff --git a/reproduce.sh b/reproduce.sh old mode 100644 new mode 100755 index 5a904f2..ad90a0a --- a/reproduce.sh +++ b/reproduce.sh @@ -1,6 +1,3 @@ -#!/bin/bash -# PortfolioChoiceBlogPost +#!/bin/sh -python -m pip install -r requirements.txt - -bash do_all_code.sh +DISPLAY= MPLBACKEND=agg python run.py config.yaml diff --git a/cgm_configurator.py b/run.py similarity index 62% rename from cgm_configurator.py rename to run.py index 0e842fc..d3582d6 100644 --- a/cgm_configurator.py +++ b/run.py @@ -2,13 +2,10 @@ import yaml import subprocess -ORIGIN = f"https://github.com/econ-ark/REMARK" -REMARK_BRANCH = f"master" -DOCKER_IMAGE = f"econark/econ-ark-notebook" + DO_FILE = f"do_MIN.py" -PATH_TO_PARAMS = f"/home/jovyan/REMARK/REMARKs/CGMPortfolio/Code/Python/Calibration/" -PATH_TO_FIGURES = f"/home/jovyan/REMARK/REMARKs/CGMPortfolio/Code/Python/Figures/" -PATH_TO_SCRIPT = f"REMARK/REMARKs/CGMPortfolio" +PATH_TO_PARAMS = "Code/Python/Calibration/" +PATH_TO_FIGURES = "Code/Python/Figures/" RESULTS_DIR = f"figures" # Take the file as an argument @@ -22,42 +19,6 @@ with open(args.config, "r") as stream: config_parameters = yaml.safe_load(stream) -print(config_parameters) - -pwd = subprocess.run(["pwd"], stdout=subprocess.PIPE, stderr=subprocess.PIPE) -mount = str(pwd.stdout)[2:-3] + ":/home/jovyan/work" -# mount the present directory and start up a container -container_id = subprocess.run( - ["docker", "run", "-v", mount, "-d", DOCKER_IMAGE], stdout=subprocess.PIPE, stderr=subprocess.PIPE -) -container_id = container_id.stdout.decode("utf-8")[:-1] -# pull the master branch -subprocess.run( - [ - f'docker exec -it {container_id} bash -c "cd REMARK; git pull {ORIGIN} {REMARK_BRANCH}"' - ], - shell=True, -) -subprocess.run([f"docker exec -it {container_id} bash -c 'pip uninstall -y econ-ark; pip install econ-ark==0.10.5'"], shell=True) -# copy the params file to params_init file -subprocess.run( - [ - f"docker exec -it {container_id} bash -c 'cp {PATH_TO_PARAMS}params.py {PATH_TO_PARAMS}params_init.py'" - ], - shell=True, -) -# copy the params files to current work directory -subprocess.run( - [ - f"docker exec -it {container_id} bash -c 'cp {PATH_TO_PARAMS}params* /home/jovyan/work'" - ], - shell=True, -) -# create a directory to store results from the run -subprocess.run( - [f"docker exec -it {container_id} bash -c 'mkdir /home/jovyan/work/{RESULTS_DIR}'"], - shell=True, -) dict_portfolio_keys = [ "CRRA", @@ -106,7 +67,6 @@ "import numpy as np", ] for parameter in config_parameters: - print(f"Running docker instance against parameters: {parameter} ") for key, val in config_parameters[parameter].items(): # check if it's in time_params if key in ["Age_born", "Age_retire", "Age_death"]: @@ -158,44 +118,21 @@ for i in parameters_update: print(i) print('\n') - with open("params.py", "w") as f: + with open(f"{PATH_TO_PARAMS}params.py", "w") as f: for item in parameters_update: f.write("%s\n" % item) # restart parameter update list parameters_update = parameters_update[0:2] - # copy new parameters file to the REMARK - subprocess.run( - [ - f"docker exec -it {container_id} bash -c 'cp /home/jovyan/work/params.py {PATH_TO_PARAMS}params.py'" - ], - shell=True, - ) + # remove previous figures from the REMARK - subprocess.run( - [f"docker exec -it {container_id} bash -c 'rm {PATH_TO_FIGURES}*'"], shell=True - ) + subprocess.run( [f"rm {PATH_TO_FIGURES}*"], shell=True) + # run the do_X file and get the results - subprocess.run( - [ - f"docker exec -it {container_id} bash -c 'cd {PATH_TO_SCRIPT}; ipython {DO_FILE}'" - ], - shell=True, - ) + subprocess.run([f"ipython {DO_FILE}"], shell=True) + # create a folder to store the figures for this parameter - subprocess.run( - [ - f"docker exec -it {container_id} bash -c 'mkdir /home/jovyan/work/{RESULTS_DIR}/figure_{parameter}'" - ], - shell=True, - ) - # copy the files created in figures to results - subprocess.run( - [ - f"docker exec -it {container_id} bash -c 'cp {PATH_TO_FIGURES}* /home/jovyan/work/{RESULTS_DIR}/figure_{parameter}/'" - ], - shell=True, - ) + subprocess.run([f"mkdir -p {RESULTS_DIR}/figure_{parameter}" ], shell=True,) + # copy the files created in figures to results + subprocess.run([f"cp {PATH_TO_FIGURES}* {RESULTS_DIR}/figure_{parameter}/" ], shell=True,) -subprocess.run([f"docker stop {container_id}"], shell=True) -subprocess.run([f"rm params.py params_init.py"], shell=True)

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