Arbeitspapier

Testing identifying assumptions in fuzzy regression discontinuity designs

We propose a new specification test for assessing the validity of fuzzy regression discontinuity designs (FRD-validity). We derive a new set of testable implications, characterized by a set of inequality restrictions on the joint distribution of observed outcomes and treatment status at the cut-off. We show that this new characterization exploits all the information in the data useful for detecting violations of FRD-validity. Our approach differs from, and complements existing approaches that test continuity of the distributions of running variables and baseline covariates at the cut-off since ours focuses on the distribution of the observed outcome and treatment status. We show that the proposed test has appealing statistical properties. It controls size in large sample uniformly over a large class of distributions, is consistent against all fixed alternatives, and has non-trivial power against some local alternatives. We apply our test to evaluate the validity of two FRD designs. The test does not reject the FRD-validity in the class size design studied by Angrist and Lavy (1999) and rejects in the insurance subsidy design for poor households in Colombia studied by Miller, Pinto, and Vera-Hernández (2013) for some outcome variables, while existing density tests suggest the opposite in each of the cases.

Sprache
Englisch

Erschienen in
Series: cemmap working paper ; No. CWP10/19

Klassifikation
Wirtschaft
Thema
Fuzzy regression discontinuity design
nonparametric test
inequality restriction
multiplier bootstrap

Ereignis
Geistige Schöpfung
(wer)
Arai, Yoichi
Hsu, Yuchin
Kitagawa, Toru
Mourifié, Ismael
Wan, Yuanyuan
Ereignis
Veröffentlichung
(wer)
Centre for Microdata Methods and Practice (cemmap)
(wo)
London
(wann)
2019

DOI
doi:10.1920/wp.cem.2019.1019
Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Arai, Yoichi
  • Hsu, Yuchin
  • Kitagawa, Toru
  • Mourifié, Ismael
  • Wan, Yuanyuan
  • Centre for Microdata Methods and Practice (cemmap)

Entstanden

  • 2019

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