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

Knowledge spillovers and patent citations: trends in geographic localization, 1976-2015

This paper examines the trends in geographic localization of knowledge spillovers via patent citations, considering US […]

Hyuk-Soo Kwon, Jihong Lee, Sokbae (Simon) Lee, Ryungha Oh
6 December 2017 | CWP55/17

Latest version

Knowledge spillovers and patent citations: trends in geographic localization, 1976-2015
Hyuk-Soo Kwon, Jihong Lee, Sokbae (Simon) Lee, Ryungha Oh
30 October 2019 | CWP58/19
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
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
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
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
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
Doubly robust uniform confidence band for the conditional average treatment effect function

In this paper, we propose a doubly robust method to present the heterogeneity of the average […]

Sokbae (Simon) Lee, Ryo Okui, Yoon-Jae Whang
10 January 2016 | CWP03/16
Identifying effects of multivalued treatments

Multivalued treatment models have only been studied so far under restrictive assumptions: ordered choice, or more […]

Sokbae (Simon) Lee, Bernard Salanie
8 December 2015 | CWP72/15

Latest version

Identifying effects of multivalued treatments
Sokbae (Simon) Lee, Bernard Salanie
12 June 2018 | CWP34/18