【Metrics Seminar】Sensitivity Analysis in Sharp Regression Discontinuity Designs
2026/04/21
研討會日期 : 2026-04-21
時間 : 14:30
主講人 : Professor Sungwon Lee
地點 : Conference Room B110
主持人 : Professor Yu-Chin Hsu
演講者簡介 : Dr. Sungwon Lee received his Ph.D. in Economics from the University of Texas at Austin in 2018. He is currently an Associate Professor at Sogang University. His research interests are Econometric Theory, Microeconometrics, and Applied Econometrics.
演講摘要 : This paper develops a framework for extrapolating causal effects in sharp regression discontinuity (RD) designs beyond the local neighborhood of the cutoff. We adopt a partial identification approach that yields bounds on a broad class of causal parameters, including average and distributional treatment effects. Identification relies on smoothness restrictions on the conditional expectation or distribution of potential outcomes with respect to the running variable, parameterized by sensitivity measures that capture the degree of smoothness and admit an interpretation in terms of statistical dependence. Within this framework, we derive sharp bounds on counterfactual means and distributions that can be estimated using standard nonparametric or flexible parametric methods. The approach is well suited for sensitivity analysis, providing a transparent assessment of the robustness of extrapolated RD estimates. Monte Carlo simulations demonstrate its finite-sample performance and practical relevance.
