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PIP_internal_Guidelines.bib
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@report{aguilarSeptember2020PovcalNet2020,
title = {September 2020 {{PovcalNet Update}}: {{What}}'s {{New}}},
shorttitle = {September 2020 {{PovcalNet Update}}},
author = {Aguilar, R. Andres Castaneda and Fujs, Tony H. M. J. and Jolliffe, Dean M. and Lakner, Christoph and Mahler, Daniel Gerszon and Nguyen, Minh C. and Schoch, Marta and Mogollon, David L. Vargas and Mendoza, Martha C. Viveros and Baah, Samuel Kofi Tetteh and Yonzan, Nishant and Yoshida, Nobuo},
date = {2020-09},
journaltitle = {Global Poverty Monitoring Technical Note Series},
institution = {{The World Bank}},
url = {https://ideas.repec.org/p/wbk/wbgpmt/14.html},
urldate = {2021-07-13},
abstract = {The September 2020 update to PovcalNet mainly involves the adoption of the revised 2011 PPPs for the estimation of global poverty. In addition, the coverage rules for reporting regional and global poverty aggregates have been reviewed, resulting in small adjustments. Historical regional and global aggregates are now reported with an annual frequency instead of intervals with varying lengths. Only two surveys have been added and some welfare aggregates have been revised compared with the March 2020 update. National accounts and population input data have been updated. This document explains these changes and the rationale behind them in detail. The data and associated estimates are used for the analysis of global poverty in the forthcoming Poverty and Shared Prosperity Report 2020.},
langid = {english},
number = {14},
series = {Global {{Poverty Monitoring Technical Note Series}}}
}
@report{dattComputationalToolsPoverty1998,
title = {Computational Tools for Poverty Measurement and Analysis},
author = {Datt, Gaurav},
date = {1998},
institution = {{International Food Policy Research Institute (IFPRI)}},
url = {https://econpapers.repec.org/paper/fprfcnddp/50.htm},
urldate = {2021-07-13},
abstract = {This paper introduces some relatively straightforward computational tools for estimating poverty measures from the sort of data that are typically available from published sources. All that is required for using these tools is an elementary regression package. The methodology also easily lends itself to a number of poverty simulations, some of which are discussed. The paper addresses the central question: How do we construct poverty measures from grouped data on consumption and income? Two broad approaches can be identified: simple interpolation methods and methods based on parameterized Lorenz curves. The paper briefly describes the two approaches and discusses why the second may be considered preferable.},
file = {C\:\\Users\\wb384996\\Zotero\\storage\\7PQUAEHK\\50.html},
keywords = {Consumption (Economic theory),Income.,Poverty Research Methodology.},
number = {50},
type = {FCND discussion paper}
}
@report{devadasGrowthWarSyria2019,
title = {Growth after {{War}} in {{Syria}}},
author = {Devadas, Sharmila and Elbadawi, Ibrahim Ahmed and Loayza, Norman V.},
date = {2019-08-06},
journaltitle = {Policy Research Working Paper Series},
institution = {{The World Bank}},
url = {https://ideas.repec.org/p/wbk/wbrwps/8967.html},
urldate = {2021-07-13},
abstract = {This paper addresses three questions: 1) what would have been the growth and income trajectory of Syria in the absence of war; 2) given the war, what explains the reduction in economic growth in terms physical capital, labor force, human capital, and productivity; and 3) what potential growth scenarios for Syria there could be in the aftermath of war. Estimates of the impact of conflict point to negative gross domestic product (GDP) growth of -12 percent on average over 2011-18, resulting in a GDP contraction to about one-third of the 2010 level. In post-conflict simulation scenarios, the growth drivers are affected by the assumed levels of reconstruction assistance, repatriation of refugees, and productivity improvements associated with three plausible political settlement outcomes: a baseline (Sochi-plus) moderate scenario, an optimistic (robust political settlement) scenario, and a pessimistic (de facto balance of power) scenario. Respectively for these scenarios, GDP per capita average growth in the next two decades is projected to be 6.1, 8.2, or 3.1 percent, assuming that a final and stable resolution of the conflict is achieved.},
file = {C\:\\Users\\wb384996\\Zotero\\storage\\4YBSW62Z\\8967.html},
keywords = {Armed Conflict,Demographics,Labor Markets,Labor&Employment Law,Macroeconomic Management},
langid = {english},
number = {8967},
series = {Policy {{Research Working Paper Series}}}
}
@online{internationalmonetaryfundWorldEconomicOutlook,
title = {World {{Economic Outlook Databases}}},
shorttitle = {{{WEO}} Database},
author = {{International Monetary Fund}},
url = {https://www.imf.org/en/Publications/SPROLLs/world-economic-outlook-databases},
urldate = {2021-07-02},
file = {C\:\\Users\\wb384996\\Zotero\\storage\\DXJEVQU8\\world-economic-outlook-databases.html},
langid = {english},
organization = {{IMF}}
}
@report{kostialSyriaConflictEconomy2016,
title = {Syria’s {{Conflict Economy}}},
author = {Kostial, Ms Kristina and Gobat, Jeanne},
date = {2016-06-29},
journaltitle = {IMF Working Papers},
institution = {{International Monetary Fund}},
url = {https://ideas.repec.org/p/imf/imfwpa/2016-123.html},
urldate = {2021-07-13},
abstract = {Five years into the ongoing and tragic conflict, the paper analyzes how Syria’s economy and its people have been affected and outlines the challenges in rebuilding the economy. With extreme limitations on information, the findings of the paper are subject to an extraordinary degree of uncertainty. The key messages are: (1) that the devastating civil war has set the country back decades in terms of economic, social and human development. Syria’s GDP today is less than half of what it was before the war started and it could take two decades or more for Syria to return to its pre-conflict GDP levels; and that (2) while reconstructing damaged physical infrastructure will be a monumental task, rebuilding Syria’s human and social capital will be an even greater and lasting challenge.},
file = {C\:\\Users\\wb384996\\Zotero\\storage\\VINPHPCK\\2016-123.html},
keywords = {Agricultural commodities,Asia and Pacific,central bank,Economic Development,exchange rate,financial system,foreign currency,Global,government control,government debt market,government obligation,Infrastructure,Macroeconomics,Oil,Syria,Syria's government institution,Syrian pound,U.S. dollar,WP},
langid = {english},
number = {2016/123},
series = {{{IMF Working Papers}}}
}
@article{krauseCorrigendumEllipticalLorenz2013,
title = {Corrigendum to “{{Elliptical Lorenz Curves}}” [{{J}}. {{Econom}}. 40 (1989) 327–338]},
author = {Krause, Melanie},
date = {2013},
journaltitle = {Journal of Econometrics},
volume = {1},
pages = {44},
issn = {0304-4076},
doi = {10.1016/j.jeconom.2013.01.001},
url = {https://www.infona.pl//resource/bwmeta1.element.elsevier-1517912c-c364-30a4-9730-5ec74d729bb3},
urldate = {2021-07-13},
file = {C\:\\Users\\wb384996\\Zotero\\storage\\FUG2SJ7K\\bwmeta1.element.html},
langid = {english},
number = {174}
}
@report{prydzNationalAccountsData2019,
title = {National {{Accounts Data Used}} in {{Global Poverty Measurement}}},
author = {Prydz, Espen and Jolliffe, Dean and Lakner, Christoph and Mahler, Daniel and Sangraula, Prem},
date = {2019-03},
institution = {{The World Bank}},
url = {https://econpapers.repec.org/paper/wbkwbgpmt/8.htm},
urldate = {2021-07-13},
abstract = {Poverty estimates from household surveys are not available every year for most economies. To address these data gaps and to aggregate poverty estimates across groups of economies (and the world), adjustments to household survey data are needed to align estimates to common reference years. This note summarizes the methods and data used for aligning (or lining up) and aggregating World Bank poverty estimates to common reference years. The data and methods presented here are the ones used in PovcalNet as of 2019, and build on the approach described by Chen and Ravallion (2004), and also documented in Ferreira et al. (2015), Jolliffe et al (2014) and World Bank (2018). The note summarizes the methodology, as described in these sources and implemented in PovcalNet, and the current data sources used.},
file = {C\:\\Users\\wb384996\\Zotero\\storage\\5R94ZIZ8\\8.html},
number = {8},
type = {Global Poverty Monitoring Technical Note Series}
}
@article{villasenorEllipticalLorenzCurves1989,
title = {Elliptical {{Lorenz}} Curves},
author = {Villaseñor, JoséA. and Arnold, Barry C.},
date = {1989-02-01},
journaltitle = {Journal of Econometrics},
shortjournal = {Journal of Econometrics},
volume = {40},
pages = {327--338},
issn = {0304-4076},
doi = {10.1016/0304-4076(89)90089-4},
url = {https://www.sciencedirect.com/science/article/pii/0304407689900894},
urldate = {2021-07-13},
abstract = {A family of elliptic Lorenz curves is proposed for fitting grouped income data. The associated distribution and density functions are displayed together with the Gini indices. Estimation procedures are discussed. Comparisons are made with alternative models using Australian 1967–68 income data.},
file = {C\:\\Users\\wb384996\\Zotero\\storage\\UIEMCTFD\\0304407689900894.html},
langid = {english},
number = {2}
}
@book{worldbankPovertyInequalityPlatform2021,
title = {Poverty and {{Inequality Platform Methodology Handbook}}},
shorttitle = {{{PIP Methodological Hanbook}}},
author = {{World Bank}},
date = {2021},
location = {{Washington, D.C.}},
url = {https://povcalnet-team.github.io/Methodology},
urldate = {2021-07-02},
abstract = {Poverty and Inequality Platform Methodology Handbook},
file = {C\:\\Users\\wb384996\\Zotero\\storage\\RS84RQRP\\index.html},
langid = {english}
}
@book{xieDynamicDocumentsKnitr2015,
title = {Dynamic {{Documents}} with {{R}} and Knitr},
author = {Xie, Yihui},
date = {2015-06-22},
edition = {2nd edition},
publisher = {{Chapman and Hall/CRC}},
location = {{Boca Raton}},
abstract = {Quickly and Easily Write Dynamic Documents Suitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second Edition makes writing statistical reports easier by integrating computing directly with reporting. Reports range from homework, projects, exams, books, blogs, and web pages to virtually any documents related to statistical graphics, computing, and data analysis. The book covers basic applications for beginners while guiding power users in understanding the extensibility of the knitr package. New to the Second Edition A new chapter that introduces R Markdown v2 Changes that reflect improvements in the knitr package New sections on generating tables, defining custom printing methods for objects in code chunks, the C/Fortran engines, the Stan engine, running engines in a persistent session, and starting a local server to serve dynamic documents Boost Your Productivity in Statistical Report Writing and Make Your Scientific Computing with R Reproducible Like its highly praised predecessor, this edition shows you how to improve your efficiency in writing reports. The book takes you from program output to publication-quality reports, helping you fine-tune every aspect of your report.},
isbn = {978-1-4987-1696-3},
langid = {english},
pagetotal = {294}
}
@techreport{castanedaaguilarSeptember2020PovcalNet2020,
title = {September 2020 {{PovcalNet Update}}: {{What}}'s {{New}}},
shorttitle = {September 2020 {{PovcalNet Update}}},
author = {Castaneda Aguilar, R. Andres and Fujs, Tony H. M. J. and Jolliffe, Dean M. and Lakner, Christoph and Mahler, Daniel Gerszon and Nguyen, Minh C. and Schoch, Marta and Mogollon, David L. Vargas and Mendoza, Martha C. Viveros and Baah, Samuel Kofi Tetteh and Yonzan, Nishant and Yoshida, Nobuo},
year = {2020},
month = sep,
institution = {{The World Bank}},
abstract = {The September 2020 update to PovcalNet mainly involves the adoption of the revised 2011 PPPs for the estimation of global poverty. In addition, the coverage rules for reporting regional and global poverty aggregates have been reviewed, resulting in small adjustments. Historical regional and global aggregates are now reported with an annual frequency instead of intervals with varying lengths. Only two surveys have been added and some welfare aggregates have been revised compared with the March 2020 update. National accounts and population input data have been updated. This document explains these changes and the rationale behind them in detail. The data and associated estimates are used for the analysis of global poverty in the forthcoming Poverty and Shared Prosperity Report 2020.},
journal = {Global Poverty Monitoring Technical Note Series},
language = {en},
number = {14}
}
@techreport{laknerConsumerPriceIndices2018b,
title = {Consumer {{Price Indices Used}} in {{Global Poverty Measurement}}},
author = {Lakner, Christoph and Mahler, Daniel Gerszon and Nguyen, Minh C. and Azevedo, Joao Pedro and Chen, Shaohua and Jolliffe, Dean M. and Prydz, Espen Beer and Sangraula, Prem},
year = {2018},
month = sep,
journal = {Global Poverty Monitoring Technical Note Series},
number = {4},
institution = {{The World Bank}},
abstract = {Temporal deflators are needed to compare welfare aggregates over time, and thus to measure real changes in poverty. This note describes the sources of the consumer price indices that are used for every country included in the World Bank’s estimates of global poverty, published in PovcalNet. These deflators are used to express welfare aggregates in domestic 2011 prices, for comparison with the 2011 PPP conversion factors.},
language = {en},
file = {C\:\\Users\\wb384996\\Zotero\\storage\\5CV2G9HQ\\4.html}
}
@techreport{azevedoPricesUsedGlobal2018a,
title = {Prices {{Used}} in {{Global Poverty Measurement}}},
author = {Azevedo, Joao Pedro and Rodas, Paul A. Corral and Jolliffe, Dean M. and Lakner, Christoph and Mahler, Daniel Gerszon and Montes, Jose and Nguyen, Minh C. and Prydz, Espen Beer},
year = {2018},
month = sep,
journal = {Global Poverty Monitoring Technical Note Series},
number = {3},
institution = {{The World Bank}},
abstract = {To compare welfare aggregates over time and across space, the World Bank's global poverty estimates incorporate temporal and spatial price adjustments, as well as currency changes. This short note summarizes these adjustments in a simple framework and provides the basis for more detailed papers documenting each of the components.},
language = {en},
file = {C\:\\Users\\wb384996\\Zotero\\storage\\ZSH63EBV\\3.html}
}