Yoonseok Lee

Associate Professor, Economics

Biography

Yoonseok Lee is an Associate Professor of Economics and a Senior Research Associate in the Center for Policy Research. His research interests are in econometric theory and applied econometrics. For econometric theory, the topics focus on semi-parametric dynamic panel data models, treatment effect in panel data, many weak instrumental variables problems, and model selection in high dimensional models. For applied topics, he uses semi-parametric panel data models to study cross country growth, environmental Kuznets curve, motorcycle helmet use regulation, smoking during pregnancy, medical treatment effects, crime and inequality, firm-level production function estimation, and relation between exporting and firm stock market value. For more policy-oriented topics, he is interested in social interaction models and income polarization problem. Yoonseok received his Ph.D. in economics from Yale University in 2006. 

Select Publications

“Nonparametric Estimation of the Marginal Effect in Fixed-Effect Panel Data Models” (with D. Mukherjee and A. Ullah), Journal of Multivariate Analysis, Vol. 171 (2019),  pp. 53-67.

“Olley and Pakes Style Production Function Estimators with Firm Fixed Effects” (with A. Stoyanov and N. Zubanov),  Oxford Bulletin of Economics and Statistics,  Vol. 81 (2019), pp. 1, 79-97.

"Adaptive Elastic Net GMM Estimation with Many Invalid Moment Conditions: Simultaneous Model and Moment Selection." Yoonseok Lee, M. Caner and X. Han, Journal of Business & Economic Statistics, Vol. 36, No. 1 (2018), pp. 24-46.

"Measuring Social Tension from Income Class Segregation." Yoonseok Lee and D. Shin, Journal of Business & Economic Statistics, Vol. 34, No. 3 (2016), pp. 457-471.

"Treatment Effects with Unobserved Heterogeneity: A Set Identification Approach." Yoonseok Lee, S.J. Jun and Y. Shin, Journal of Business & Economic Statistics, Vol. 34, No. 2 (2016), pp. 302-311.

More Publications

Research Grants and Awards

Principle Investigator. "Nonparametric Sample Splitting." Funded by Collaboration for Unprecedented Success and Excellence (CUSE) Grant Program. 2019-2021.