Testing Identifying Assumptions in Regression Discontinuity Designs

Posted: 6 Jul 2016

See all articles by Yu‐Chin Hsu

Yu‐Chin Hsu

Academia Sinica

Ismael Mourifie

University of Toronto - Department of Economics

Yuanyuan Wan

University of Toronto - Department of Economics

Date Written: July 3, 2016

Abstract

We propose a test for the key identification and estimation conditions in Regression Discontinuity (RD) designs. We characterize the set of sharp testable implications of the RD assumptions, for which the proposed test is uniformly valid under a class of distributions, is consistent against all fix alternatives and has non-trivial power against some local alternatives.

Keywords: Regression Discontinuity Design (RDD), Heterogenous Treatment Effect, Nonparametric Test, Inequality Restriction

JEL Classification: C12, C15, C21

Suggested Citation

Hsu, Yu‐Chin and Mourifie, Ismael and Wan, Yuanyuan, Testing Identifying Assumptions in Regression Discontinuity Designs (July 3, 2016). Available at SSRN: https://ssrn.com/abstract=2804244 or http://dx.doi.org/10.2139/ssrn.2804244

Yu‐Chin Hsu

Academia Sinica

Ismael Mourifie (Contact Author)

University of Toronto - Department of Economics ( email )

150 St. George Street
Toronto, Ontario M5S3G7
Canada

Yuanyuan Wan

University of Toronto - Department of Economics ( email )

150 St. George Street
Toronto, Ontario M5S3G7
Canada

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