Household Labor Supply: Evidence for Spain
May 2003, Investigaciones Económicas 27(2), pp. 239-275

Appendix I in Hahn, J., and W. Newey, Jackknife and Analytical Bias Reduction for Nonlinear Panel Models
July 2004, Econometrica 72(4), pp. 1295-1319

Subsampling Inference on Quantile Regression Processes
(with Victor Chernozhukov)
May 2005, Sankhya 67, pp. 253-276.
Data, code application, code Monte Carlo

Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure
(with Joshua Angrist and Victor Chernozhukov)
March 2006, Econometrica 74(2), pp. 539-563.
Online supplemental material

Fixed Effects Estimation of Structural Parameters and Marginal Effects in Panel Probit Models
May 2009, Journal of Econometrics 150(1), pp. 71-85.
Data1, data2, code application (exogenous), code application (predetermined), code application (dynamic)

Improving Point and Interval Estimators of Monotone Functions by Rearrangement *
(with Victor Chernozhukov and Alfred Galichon)
September 2009, Biometrika 96(3), pp. 559-575.
R Package (install with Packages + Install package(s) from local zip files …)

Rearranging Edgeworth-Cornish-Fisher Expansions *
(with Victor Chernozhukov and Alfred Galichon)
February 2010, Economic Theory 42(2), pp. 419-435.

Quantile and Probability Curves without Crossing *
(with Victor Chernozhukov and Alfred Galichon)
May 2010, Econometrica 78(3), pp. 559-575.
Online supplemental material

Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks *
(with Victor Chernozhukov)
April 2011, Review of Economic Studies, 78(2), pp. 559-589
Online supplemental material

Bias Corrections for Two-Step Fixed Effects Panel Data Estimators
(with Frank Vella)
August 2011, Journal of Econometrics 163(2), pp. 144-162
Code Monte Carlo (dynamic Tobit CMLE)

Panel Data Models with Nonadditive Unobserved Heterogeneity: Estimation and Inference * 
(with Joonhwan Lee)
November 2013, Quantitative Economics, 4(3), pp. 453-481

Average and Quantile Effects in Nonseparable Panel Models *
(with Victor Chernozhukov, Jinyong Hahn and Whitney Newey)
March 2013, Econometrica, 81(2), pp. 535-580
Online supplemental material, Note on Sharpness of Bounds for Dynamic Nonseparable Panel Models

The Consequences of Teenage Childbearing: Consistent Estimates When Abortion Makes Miscarriage Nonrandom
(with Adam Ashcraft and Kevin Lang)
September 2013, Economic Journal, 123 (571), pp. 875-905
Online supplemental material

ExtrapoLATE-ing: External Validity and Overidentification in the LATE Framework
(with Josh Angrist)
2013 , Advances in Economics and Econometrics: Theory and Applications, Tenth World Congress, Volume III: Econometrics. Econometric Society Monographs
DataStata and R code

Inference on Counterfactual Distributions *
(with Victor Chernozhukov and Blaise Melly)
November 2013, Econometrica, 81(6), pp. 2205-2268
Online supplemental material
Stata code: counterfactual, cdeco, cdeco_jmp
(for documentation and updates, check Blaise Melly’s web site)

Quantile Regression with Censoring and Endogeneity * 
(with Victor Chernozhukov and Amanda Kowalski)
This paper replaces Censored Quantile Instrumental Variable Estimation via Control Functions
May 2015,  Journal of Econometrics 186, pp. 201-221
the Stata ado file cqiv provided below implement the methods of the paper

Nonparametric Identification in Panels Using Quantiles *
(with Victor Chernozhukov, Stefan Hoderlein, Hajo Holzmann, and Whitney Newey)
October 2015, Journal of Econometrics 188, pp. 378-392

Individual and Time Effects in Nonlinear Panel Data Models with Large N, T *
(with Martin Weidner)
the Stata ado files probitfe and logitfe provided below implement the methods of the paper
May 2016,  Journal of Econometrics 196, pp. 291-312

Program Evaluation and Causal Inference with High Dimensional Data *
(with Alexandre Belloni, Victor Chernozhukov, and Christian Hansen)
January 2017, Econometrica, 85(1), pp. 233-298
Online supplemental material

Working Papers:

Conditional Quantile Processes based on Series or Many Regressors *
(with Alexandre Belloni, Denis Chetverikov, and Victor Chernozhukov)
May 2006 (updated August 2016)

Nonlinear Panel Models with Interactive Effects
(with Mingli Chen and Martin Weidner)
 December 2014

The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages *
(with Victor Chernozhukov and Ye Luo)
December 2015

Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes *
(with Victor Chernozhukov, Blaise Melly, and Kaspar Wuthrich)
August 2016

Extremal Quantile Regression: An Overview
(with Victor Chernozhukov and Tetsuya Kaji)
December 2016,  prepared for the Handbook of Quantile Regression
Data and R code


Rearrangement: Rearrangement in R *
(with Wesley Graybill, Mingli Chen and Victor Chernozhukov)
R package
March 2016

Inference on Counterfactual Distributions in Stata *
(with Victor Chernozhukov and Blaise Melly)
Stata code: counterfactual, cdeco, cdeco_jmp
(for documentation and updates, check Blaise Melly’s web site)
May 2010

Counterfactual Analysis in R *
(with Mingli Chen, Victor Chernozhukov and Blaise Melly)
R package
September 2016

Quantreg.nonpar: Nonparametric Series Quantile Regression in R *
(with Michael Lipsitz, Alexandre Belloni and Victor Chernozhukov)
R package
December 2016,  The R Journal 8/2, pp. 370-381

CQIV: Stata Module to Perform Censored Quantile Instrumental Variables Regression *
(with Victor Chernozhukov, Sukjin Han and Amanda Kowalski)
ado and help files for cqiv
June 2012

probitfe and logitfe: Bias Corrections for Probit and Logit Panel Models with Two-Way Fixed Effects *
(with Mario Cruz-Gonzalez and Martin Weidner)
ado, help and data files for logitfe
ado, help and data files for probitfe
October 2016

* This material is based upon work supported by the National Science Foundation under Grants No. SES 0752266, SES-1060809, and SES-1559504. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).