Research Staff

Sokbae (Simon) Lee

Columbia University and IFS

Sokbae is a Professor of Economics at Columbia University. His research focuses on theoretical and applied econometrics.

Selected Publications

Testing for a general class of functional inequalities

In this article, we propose a general method for testing inequality restrictions on nonparametric functions. Our […]

Sokbae (Simon) Lee, Song, Kyungchul, Yoon-Jae Whang
1 December 2017 | Journal Article
Best subset binary prediction

We consider a variable selection problem for the prediction of binary outcomes. We study the best […]

Le-Yu Chen, Sokbae (Simon) Lee
22 November 2017 | CWP50/17
Breaking the curse of dimensionality in conditional moment inequalities for discrete choice models

This paper studies inference of preference parameters in semiparametric discrete choice models when these parameters are […]

Le-Yu Chen, Sokbae (Simon) Lee
22 November 2017 | CWP51/17
Exact computation of GMM estimators for instrumental variable quantile regression models

We show that the generalized method of moments (GMM) estimation problem in instrumental variable quantile regression […]

Le-Yu Chen, Sokbae (Simon) Lee
22 November 2017 | CWP52/17
Optimal data collection for randomized control trials

In a randomized control trial, the precision of an average treatment effect estimator and the power […]

Pedro Carneiro, Sokbae (Simon) Lee, Daniel Wilhelm
23 October 2017 | CWP45/17

Latest version

Optimal Data Collection for Randomized Control Trials
Pedro Carneiro, Sokbae (Simon) Lee, Daniel Wilhelm
2 May 2019 | CWP21/19

Previous version

Optimal data collection for randomized control trials
Pedro Carneiro, Sokbae (Simon) Lee, Daniel Wilhelm
1 April 2016 | CWP15/16
Nonparametric estimation and inference under shape restrictions

Economic theory often provides shape restrictions on functions of interest in applications, such as monotonicity, convexity, […]

Joel L. Horowitz, Sokbae (Simon) Lee
18 August 2017 | Journal Article
Oracle estimation of a change point in high dimensional quantile regression

In this paper, we consider a high-dimensional quantile regression model where the sparsity structure may differ […]

Sokbae (Simon) Lee, Yuan Liao, Myung Hwan Seo, Youngki Shin
10 July 2017 | Journal Article
Optimal data collection for randomized control trials

In a randomized control trial, the precision of an average treatment effect estimator and the power […]

Pedro Carneiro, Sokbae (Simon) Lee, Daniel Wilhelm
27 March 2017 | CWP15/17

Previous version

Optimal data collection for randomized control trials
Pedro Carneiro, Sokbae (Simon) Lee, Daniel Wilhelm
1 April 2016 | CWP15/16
Nonparametric estimation and inference under shape restrictions

Economic theory often provides shape restrictions on functions of interest in applications, such as monotonicity, convexity, […]

Joel L. Horowitz, Sokbae (Simon) Lee
25 July 2016 | CWP29/16

Previous version

Nonparametric estimation and inference under shape restrictions
Joel L. Horowitz, Sokbae (Simon) Lee
19 October 2015 | CWP67/15
Optimal data collection for randomized control trials

In a randomized control trial, the precision of an average treatment e ffect estimator can be […]

Pedro Carneiro, Sokbae (Simon) Lee, Daniel Wilhelm
1 April 2016 | CWP15/16

Latest version

Optimal data collection for randomized control trials
Pedro Carneiro, Sokbae (Simon) Lee, Daniel Wilhelm
23 October 2017 | CWP45/17