Testing Identification Conditions of LATE in Fuzzy Regression Discontinuity Designs

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

Working Papers from University of Toronto, Department of Economics

Abstract: This paper derives testable implications of the identifying conditions for the local average treatment effect (LATE) in fuzzy regression discontinuity (FRD) designs. Building upon the seminal work of Horowitz and Manski (1995), 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 the FRD designs used in Miller, Pinto, and Vera-Hernandez (2013) for Columbia’s insurance subsidy program, in Angrist and Lavy (1999) for Israel’s class size effect, in Pop-Eleches and Urquiola (2013) for Romanian school effect, and in Battistin, Brugiavini, Rettore, and Weber (2009) for the retirement effect on consumption.

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)
Pages: Unknown pages
Date: 2023-10-19
New Economics Papers: this item is included in nep-ecm and nep-tra
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.economics.utoronto.ca/public/workingPapers/tecipa-761.pdf Main Text (application/pdf)

Related works:
Journal Article: Testing identification conditions of LATE in fuzzy regression discontinuity designs (2024)
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:tor:tecipa:tecipa-761

Access Statistics for this paper

More papers in Working Papers from University of Toronto, Department of Economics 150 St. George Street, Toronto, Ontario.
Bibliographic data for series maintained by RePEc Maintainer ().