演講者簡介 : Prof. Sasaki received his Ph.D. in Economics from Brown University in 2012. He is currently an Assistant Professor at Johns Hopkins University. His research focuses on semi- and non-parametric identification of economic models with unobserved heterogeneity, measurement errors, and endogenous selection.
演講摘要 : This paper discusses quantile regression kink designs (QRKD) for identification and estimation of heterogeneous treatment effects. We first develop causal interpretations of the QRKD estimand. Second, we propose a sample counterpart QRKD estimator, and develop its asymptotic properties for statistical inference of heterogeneous treatment effects. Applying our methods to the Continuous Wage and Benefit History Project (CWBH) data, we find significantly heterogeneous positive moral hazard effects of unemployment insurance benefits on unemployment durations in Louisiana between 1981 and 1982.
