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時間：2025年6月9日9:30-11:00（周一）

地點：明德主樓729

主講人：宛圓淵 多倫多大學經濟學院副教授

主持人：洪圣杰副教授

主題：A Sharp Test for the Judge Leniency Design

講座簡介：

In this paper, we propose a sharp test to assess the validity of the exclusion and monotonicity assumption in judge leniency designs. Our sharp test exploits all the relevant information in the observed data distribution to refute the model and will not make discordant recommendations. When the validity of the design is rejected, we show that a variant of the marginal treatment effect (MTE) can be identified under weaker partial monotonicity and partial exclusion assumptions.

個人簡介：

Yuanyuan Wan is an associate professor at the Department of Economics at the University of Toronto. His research interests include causal inference, structural econometrics, partial identification, and quasi-Bayesian inference. Recently, he has been working on designing sharp specification tests for identifying conditions in various causal inference frameworks, including regression discontinuity design, LATE, and MTE. He has published papers in the Journal of Econometrics, Review of Economics and Statistics, Econometric Theory, Quantitative Economics, and Journal of Business and Economic Statistics (JBES) etc. He is currently an associate editor at JBES and Econometric Reviews.