Testing identification conditions of LATE in fuzzy regression discontinuity designs

Journal of Econometrics(2024)

Cited 0|Views3
No score
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.
More
Translated text
Key words
Fuzzy regression discontinuity design,Moment inequalities,Local continuity in means,Weighted bootstrap
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined