Testing Identifying Assumptions in Regression Discontinuity Designs
Posted: 6 Jul 2016
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: 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
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