EconPapers    
Economics at your fingertips  
 

Testing identification conditions of LATE in fuzzy regression discontinuity designs

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

Journal of Econometrics, 2024, vol. 241, issue 1

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.

Keywords: Fuzzy regression discontinuity design; Moment inequalities; Local continuity in means; Weighted bootstrap (search for similar items in EconPapers)
JEL-codes: C12 C14 C15 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304407624000848
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Testing Identification Conditions of LATE in Fuzzy Regression Discontinuity Designs (2023) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:241:y:2024:i:1:s0304407624000848

DOI: 10.1016/j.jeconom.2024.105738

Access Statistics for this article

Journal of Econometrics is currently edited by T. Amemiya, A. R. Gallant, J. F. Geweke, C. Hsiao and P. M. Robinson

More articles in Journal of Econometrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-31
Handle: RePEc:eee:econom:v:241:y:2024:i:1:s0304407624000848