Testing Treatment Effect Heterogeneity in Regression Discontinuity Design

主讲人

Yu-Chin Hsu

简介

<p>Treatment effect heterogeneity is frequently studied in regression discontinuity (RD) applications. This paper proposes, under the RD setup, the first set of formal tests for treatment effect heterogeneity among subpopulations with different characteristics. The proposed tests study whether a policy treatment is 1) beneficial for at least some subpopulations defined by covariate values, 2) has any impact on at least some subpopulations, and 3) has a heterogeneous impact across subpopulations. Monte Carlo simulations show good small sample performance of the proposed tests. The empirical section applies the tests to study the impact of attending a better high school and discover interesting patterns of treatment effect heterogeneity neglected by previous studies.</p>

时间

2017-11-09(Thursday)12:30-13:30

地点

N302, Econ Building

讲座语言

English

主办单位

承办单位

类型

独立讲座

联系人信息

主持人

专题网站

专题

主讲人简介

<p><span style="font-family: 宋体; font-size: 14px;">Associate Research Fellow at Institute of Economics, Academia Sinica. He earned his PhD of Economics from University of Texas at Austin. His research fields of speacializtion is Economeric theory.</span></p> <p>Please see <a href="/Upload/File/2017/11/20171106024419794.pdf">Prof. Hsu's CV</a> for more information.</p>

期数

BBS in Econometrics and Statistic

主讲人: Yu-Chin Hsu
主讲人简介:

Associate Research Fellow at Institute of Economics, Academia Sinica. He earned his PhD of Economics from University of Texas at Austin. His research fields of speacializtion is Economeric theory.

Please see Prof. Hsu's CV for more information.

简介:
独立讲座
时间: 2017-11-09(Thursday)12:30-13:30
地点: N302, Econ Building
期数: BBS in Econometrics and Statistic
类型: 独立讲座