Journal of Econometrics

Testing Identification Conditions of LATE in Fuzzy Regression Discontinuity Designs

Hsu, Yu-Chin, Ji-Liang Shiu, and Yuanyuan Wan

Abstract：

This paper derives testable implications of the identifying conditions for the local average treatment effect in fuzzy regression discontinuity designs. We show that the testable implications of these identifying conditions are a finite number of inequality restrictions on the observed data distribution. We then propose a specification test for the testable implications and show that the proposed test controls the size and is asymptotically consistent. We apply our test to several fuzzy regression discontinuity designs in the literature.