-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathindex.html
394 lines (277 loc) · 17.5 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
<html>
<head>
<meta name="viewport" content="width=device-width, initial-scale=1">
<style>
a:link, a:visited {
text-decoration:none;
color:#006699;
}
a:hover {
color:#990000;
}
h1,h2,h3{
font-family:'Verdana','Helvetica', 'Arial', sans-serif;
font-weight:normal;
line-height: 0%;
}
code{
font-size:1.3em;
}
body {
font-family:'Verdana','Helvetica', 'Arial', sans-serif;
/* font-size:10pt; */
font-size:0.9em;
text-align: left;
color: black;
margin:1em auto;
max-width:65em;
padding:0.62em;
/* margin-top: 30;
margin-right: 60;
margin-bottom: 50;
margin-left: 60;
min-width:500px; */
}
table {/*font-size:10.5pt;*/margin-left: 15}
table.slightlyBigger { padding-bottom: .75em; margin-left: 0;/* font-size:1.2em;*/ }
td.indent {padding-left:30; }
li.forPapers {padding-bottom: 1em; /*font-size:1.1em;*/ }
ul {padding-left: 2em;}
ul.forPapers {padding-left: 1em; list-style-type:none}
dd {margin-left: 1em;}
div.fancyPositioning div.picture-left{float:left;width:25%;overflow:hidden;margin-right:1em;margin-left:3em}
div.fancyPositioning div.picture-left img{width:100%}
/* div.fancyPositioning div.picture-left p.caption{font-size:.7em} */
div.fancyPositioning div.tleft{/*font-size:1.1em;*/float:left;width:55%;margin-left:3em}
/* div.fancyPositioning div.tleft p:first-child{margin-top:0} */
div.fancyPositioning:after{display:block;content:"";clear:both}
@media screen and (max-width:500px){
div.fancyPositioning div.picture-left,div.fancyPositioning div.tleft {
float:none;width:inherit
}
div.fancyPositioning div.picture-left img{width:50%}
li.forPapers {font-size:1em; }
h1,h2{font-size:0.95em; }
}
</style>
<title>Max H. Farrell's Home Page</title>
</head>
<body style="color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);"
link="#000099" alink="#000099" vlink="#990099"
>
<div class="fancyPositioning">
<div class="picture-left">
<img src="MaxFarrell_Portrait.jpg">
</div>
<div class="tleft">
<h1>Max H. Farrell</h1>
<p>
Associate Professor of Economics<br>
Mellichamp Chair of Mind and Machine Intelligence<br>
University of California, Santa Barbara
</p>
<p>
<a target="_self" href="MaxFarrell_CV.pdf">Curriculum Vitae (PDF)</a>
</p>
<dl>
<dt>Find me:
<dd><a href="mailto:[email protected]">[email protected]</a>
<dd><a target="_self" href="http://scholar.google.com/citations?user=VyPhl7oAAAAJ&hl=en">Google Scholar</a>
<dd><a target="_self" href="https://www.semanticscholar.org/author/29745675">Semantic Scholar</a>
<!-- <dd><a target="_self" href="https://www.linkedin.com/in/maxhfarrell">LinkedIn</a> -->
</dl>
</div>
</div>
<br>
<br>
<h2>Software</h2><hr>
<ul>
<li class="forPapers">
<a target="_new" href="https://nppackages.github.io/binsreg/"><code>binsreg</code></a> for R, Stata, & Python: Binscatter regressions <font color=#696969>|</font> <a target="_new" href="https://nppackages.github.io/binsreg/">Website</a> <font color=#696969>|</font> <a target="_new" href="https://cran.r-project.org/package=binsreg">CRAN</a><!-- <font color=#696969>|</font> <a target="_self" href="https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2021_Stata.pdf?attredirects=0">Software Article</a>--> <font color=#696969>|</font> Implements papers <a href="#paper11">11</a> & <a href="#paper13">13</a>
</li>
<li class="forPapers">
<a target="_new" href="https://rdpackages.github.io/rdrobust/"><code>rdrobust</code></a> for R, Stata, & Python: Inference in regression discontinuity designs <font color=#696969>|</font> <a target="_new" href="https://rdpackages.github.io/rdrobust/">Website</a> <font color=#696969>|</font> <a target="_new" href="https://cran.r-project.org/package=rdrobust">CRAN</a><!-- <font color=#696969>|</font> <a target="_self" href="https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Titiunik_2017_Stata.pdf">Software Article</a>--> <font color=#696969>|</font> Implements papers <a href="#paper5">5</a> & <a href="#paper7">7</a>
</li>
<li class="forPapers">
<a target="_new" href="https://nppackages.github.io/lspartition/"><code>lspartition</code></a> for R: Partitioning-based least squares regression <font color=#696969>|</font> <a target="_new" href="https://nppackages.github.io/lspartition/">Website</a> <font color=#696969>|</font> <a target="_new" href="https://cran.r-project.org/package=lspartition">CRAN</a><!-- <font color=#696969>|</font> <a target="_self" href="https://nppackages.github.io/references/Cattaneo-Farrell-Feng_2020_R.pdf">Software Article</a>--> <font color=#696969>|</font> Implements papers <a href="#paper2">2</a> & <a href="#paper8">8</a>
</li>
<li class="forPapers">
<a target="_new" href="https://nppackages.github.io/nprobust/"><code>nprobust</code></a> for R & Stata: Kernel density and local polynomial regression <font color=#696969>|</font> <a target="_new" href="https://nppackages.github.io/nprobust/">Website</a> <font color=#696969>|</font> <a target="_new" href="https://cran.r-project.org/package=nprobust">CRAN</a><!-- <font color=#696969>|</font> <a target="_self" href="https://nppackages.github.io/references/Calonico-Cattaneo-Farrell_2019_JSS.pdf">Software Article</a>--> <font color=#696969>|</font> Implements papers <a href="#paper4">4</a> & <a href="#paper10">10</a>
</li>
</ul>
<h2>Working Papers</h2><hr>
<ol>
<li value="15" id="paper15" class="forPapers">
Covariate-Adjusted Regression Discontinuity Designs, with <a target="_self" href="http://sites.google.com/site/scalonico/">Sebastian Calonico</a>, <a target="_self" href="https://cattaneo.princeton.edu/">Matias Cattaneo</a>, <a target="_self" href="https://filippopalomba.github.io/">Filippo Palomba</a>, and <a target="_self" href="https://scholar.princeton.edu/titiunik"> Rocio Titiunik</a>
<ul class="forPapers">
<li>
arXiv <font color=#696969>|</font> Replication <font color=#696969>|</font> Software
</li>
</ul>
</li>
<li value="14" id="paper14" class="forPapers">
Structural Deep Learning, with <a target="_self" href="https://tyliang.github.io/"> Tengyuan Liang</a> and <a target="_self" href="http://sanjogmisra.com/">Sanjog Misra</a>
<ul class="forPapers">
<li>
New draft coming soon <font color=#696969>|</font>
2021 version: <a target="_self" href="https://arxiv.org/abs/2010.14694">arXiv</a> <font color=#696969>|</font> <a target="_self" href="https://www.cemmap.ac.uk/publication/deep-learning-for-individual-heterogeneity-an-automatic-inference-framework/">cemmap</a>
</li>
</ul>
</li>
<li value="13" id="paper13" class="forPapers">
Nonlinear Binscatter Methods, with <a target="_self" href="https://cattaneo.princeton.edu/">Matias Cattaneo</a>, <a target="_self" href="http://nyfedeconomists.org/crump/">Richard Crump</a>, and <a target="_self" href="http://sites.google.com/site/yingjieum/">Yingjie Feng</a>
<ul class="forPapers">
<li>
July 2024 <font color=#696969>|</font> <a target="_self" href="https://arxiv.org/abs/2407.15276">arXiv</a> <font color=#696969>|</font> <a target="_self" href="https://nppackages.github.io/replication/">Replication</a> <font color=#696969>|</font> <a target="_new" href="https://nppackages.github.io/binsreg">Software</a>
</li>
</ul>
</li>
</ol>
<h2>Publications</h2><hr>
<ol>
<li value="12" id="paper12" class="forPapers">
Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators, with <a target="_self" href="https://cattaneo.princeton.edu/">Matias Cattaneo</a>, <a target="_self" href="https://sites.google.com/berkeley.edu/michael-jansson/"> Michael Jansson</a>, and <a target="_self" href="https://anson.ucdavis.edu/~rmasini/index.html">Ricardo Masini</a>
<ul class="forPapers">
<li>
<a target="_self" href="https://arxiv.org/abs/2301.00277">arXiv</a> <font color=#696969>|</font> <a target="_self" href="research/Cattaneo-Farrell-Jansson-Masini2024_JoE.pdf">Published PDF</a>
</li>
<li>
<em>Journal of Econometrics,</em> forthcoming
</li>
</ul>
</li>
<li value="11" id="paper11" class="forPapers">
On Binscatter, with <a target="_self" href="https://cattaneo.princeton.edu/"> Matias Cattaneo</a>, <a target="_self" href="http://nyfedeconomists.org/crump/"> Richard Crump</a>, and <a target="_self" href="http://sites.google.com/site/yingjieum/">Yingjie Feng</a>
<ul class="forPapers">
<li>
<a target="_self" href="https://arxiv.org/abs/1902.09608">arXiv</a> <font color=#696969>|</font> <a target="_self" href="research/Cattaneo-Crump-Farrell-Feng2024_AER.pdf">Published PDF</a> <font color=#696969>|</font> <a target="_self" href="https://nppackages.github.io/replication/">Replication</a> <font color=#696969>|</font> <a target="_new" href="https://nppackages.github.io/binsreg">Software</a>
</li>
<li>
<em>American Economic Review</em>, 2024
</li>
</ul>
</li>
<li value="10" id="paper10" class="forPapers">
Coverage Error Optimal Confidence Intervals for Local Polynomial Regression, with <a target="_self" href="http://sites.google.com/site/scalonico/">Sebastian Calonico</a> and <a target="_self" href="https://cattaneo.princeton.edu/">Matias Cattaneo</a>
<ul class="forPapers">
<li>
<a target="_self" href="https://arxiv.org/abs/1808.01398">arXiv</a> <font color=#696969>|</font> <a target="_self" href="research/Calonico-Cattaneo-Farrell2022_Bern.pdf">Published PDF</a> <font color=#696969>|</font> <a target="_self" href="https://nppackages.github.io/replication">Replication</a> <font color=#696969>|</font> <a target="_new" href="https://nppackages.github.io/nprobust">Software</a>
</li>
<li>
<em>Bernoulli</em>, 2022
</li>
</ul>
</li>
<li value="9" id="paper9" class="forPapers">
Deep Neural Networks for Estimation and Inference, with <a target="_self" href="https://tyliang.github.io/"> Tengyuan Liang</a> and <a target="_self" href="http://sanjogmisra.com/">Sanjog Misra</a>
<ul class="forPapers">
<li>
<a target="_self" href="https://arxiv.org/abs/1809.09953">arXiv</a> <font color=#696969>|</font> <a target="_self" href="research/Farrell-Liang-Misra2021_Ecma.pdf">Published PDF</a> <font color=#696969>|</font> <a target="_self" href="https://www.econometricsociety.org/publications/econometrica/2021/01/01/deep-neural-networks-estimation-and-inference">Replication</a>
</li>
<li>
<em>Econometrica</em>, 2021
</li>
</ul>
</li>
<li value="8" id="paper8" class="forPapers">
Large Sample Properties of Partitioning-Based Series Estimators, with <a target="_self" href="https://cattaneo.princeton.edu/">Matias Cattaneo</a> and <a target="_self" href="http://sites.google.com/site/yingjieum/">Yingjie Feng</a>
<ul class="forPapers">
<li>
<a target="_self" href="http://arxiv.org/abs/1804.04916">arXiv</a> <font color=#696969>|</font> <a target="_self" href="research/Cattaneo-Farrell-Feng2020_AoS.pdf">Published PDF</a> <font color=#696969>|</font> <a target="_self" href="https://nppackages.github.io/replication">Replication</a> <font color=#696969>|</font> <a target="_new" href="https://nppackages.github.io/lspartition">Software</a>
</li>
<li>
<em>Annals of Statistics</em>, 2020
</li>
</ul>
</li>
<li value="7" id="paper7" class="forPapers">
Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs, with <a target="_self" href="http://sites.google.com/site/scalonico/">Sebastian Calonico</a> and <a target="_self" href="https://cattaneo.princeton.edu/">Matias Cattaneo</a>
<ul class="forPapers">
<li>
<a target="_self" href="https://arxiv.org/abs/1809.00236">arXiv</a> <font color=#696969>|</font> <a target="_self" href="research/Calonico-Cattaneo-Farrell2020_ECTJ.pdf">Published PDF</a> <font color=#696969>|</font> <a target="_self" href="https://rdpackages.github.io/replication">Replication</a> <font color=#696969>|</font> <a target="_new" href="https://rdpackages.github.io/rdrobust">Software</a>
</li>
<li>
<em>Econometrics Journal</em>, 2020
</li>
</ul>
</li>
<li value="6" id="paper6" class="forPapers">
Characteristic-Sorted Portfolios: Estimation and Inference, with <a target="_self" href="https://cattaneo.princeton.edu/"> Matias Cattaneo</a>, <a target="_self" href="http://nyfedeconomists.org/crump/"> Richard Crump</a>, and Ernst Schaumburg<!--<a target="_self" href="https://www.linkedin.com/in/ernst-schaumburg-bb5731a5">Ernst Schaumburg</a>-->
<ul class="forPapers">
<li>
<a target="_self" href="https://arxiv.org/abs/1809.03584">arXiv</a> <font color=#696969>|</font> <a target="_self" href="research/Cattaneo-Crump-Farrell-Schaumburg2020_REStat.pdf">Published PDF</a> <font color=#696969>|</font> <a target="_self" href="https://github.com/mdcattaneo/replication-CCFS_2020_RESTAT">Replication</a>
</li>
<li>
<em>Review of Economics and Statistics</em>, 2020
</li>
</ul>
</li>
<li value="5" id="paper5" class="forPapers">
Regression Discontinuity Designs Using Covariates, with <a target="_self" href="http://sites.google.com/site/scalonico/">Sebastian Calonico</a>, <a target="_self" href="https://cattaneo.princeton.edu/"> Matias Cattaneo</a>, and <a target="_self" href="https://scholar.princeton.edu/titiunik"> Rocio Titiunik</a>
<ul class="forPapers">
<li>
<a target="_self" href="https://arxiv.org/abs/1809.03904">arXiv</a> <font color=#696969>|</font> <a target="_self" href="research/Calonico-Cattaneo-Farrell-Titiunik2019_REStat.pdf">Published PDF</a> <font color=#696969>|</font> <a target="_self" href="https://rdpackages.github.io/replication/">Replication</a> <font color=#696969>|</font> <a target="_new" href="https://rdpackages.github.io/rdrobust">Software</a>
</li>
<li>
<em>Review of Economics and Statistics</em>, 2019
</li>
</ul>
</li>
<li value="4" id="paper4" class="forPapers">
On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference, with <a target="_self" href="http://sites.google.com/site/scalonico/">Sebastian Calonico</a> and <a target="_self" href="https://cattaneo.princeton.edu/"> Matias Cattaneo</a>
<ul class="forPapers">
<li>
<a target="_self" href="http://arxiv.org/abs/1508.02973">arXiv</a> <font color=#696969>|</font> <a target="_self" href="research/Calonico-Cattaneo-Farrell2018_JASA.pdf">Published PDF</a> <font color=#696969>|</font> <a target="_self" href="https://nppackages.github.io/replication">Replication</a> <font color=#696969>|</font> <a target="_new" href="https://nppackages.github.io/nprobust">Software</a>
</li>
<li>
<em>Journal of the American Statistical Association</em>, 2018
</li>
</ul>
</li>
<li value="3" id="paper3" class="forPapers">
Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations
<ul class="forPapers">
<li>
<a target="_self" href="http://arxiv.org/abs/1309.4686">arXiv</a> <font color=#696969>|</font> <a target="_self" href="research/Farrell2015_JoE.pdf">Published PDF</a> <font color=#696969>|</font> <a target="_self" href="research/Farrell2015_JoE--Corrigendum.pdf">Corrigendum to JoE version</a>
</li>
<li>
<em>Journal of Econometrics</em>, 2015
</li>
</ul>
</li>
<li value="2" id="paper2" class="forPapers">
Optimal Convergence Rates, Bahadur Representation, and Asymptotic Normality of Partitioning Estimators, with <a target="_self" href="https://cattaneo.princeton.edu/"> Matias Cattaneo</a>
<ul class="forPapers">
<li>
<a target="_self" href="research/Cattaneo-Farrell2013_JoE.pdf">Published PDF</a> <font color=#696969>|</font> <a target="_self" href="research/Cattaneo-Farrell2013_JoE--Supplement.pdf">Supplement PDF</a> <font color=#696969>|</font> <a target="_new" href="https://nppackages.github.io/lspartition">Software</a>
</li>
<li>
<em>Journal of Econometrics</em>, 2013
</li>
</ul>
</li>
<li value="1" id="paper1" class="forPapers">
Efficient Estimation of the Dose Response Function under Ignorability using Subclassification on the Covariates, with <a target="_self" href="https://cattaneo.princeton.edu/"> Matias Cattaneo</a>
<ul class="forPapers">
<li>
<a target="_self" href="research/Cattaneo-Farrell2011_AIE.pdf">Published PDF</a>
</li>
<li>
<em>Advances in Econometrics</em>, 2011
</li>
</ul>
</li>
</ol>
<!--
<h2>Other</h2><hr>
<ul>
<li class="forPapers">
Interactions Conference 2017: Bringing Together Econometrics and Applied Microeconomics <font color=#696969>|</font> <a target="_new" href="https://sites.google.com/site/interactionsconference/Interactions_Conference_Program.pdf?attredirects=0">Program</a> <font color=#696969>|</font> <a target="_self" href="http://sites.google.com/site/interactionsconference/">Website</a>
</li>
</ul>
-->
<br>
<hr>
<center><small>Last updated January 2025</small></center>
</body>
</html>