Monotonicity Test for Local Average Treatment Effects Under Regression Discontinuity

Yu-Chin Hsu and Shu Shen ()
Additional contact information
Shu Shen: Department of Economics University of California, Davis, http://economics.ucdavis.edu/

No 17-A010, IEAS Working Paper : academic research from Institute of Economics, Academia Sinica, Taipei, Taiwan

Abstract: This paper proposes nonparametric monotonicity tests for the (local) average treatment effects under the sharp and fuzzy regression discontinuity designs. The tests allow researchers to examine whether the policy effect of interest has monotonic relationships with conditioning covariates. We show the consistency and asymptotic uniform size control of the proposed tests. The proposed tests are applied to re-investigate the impact of attending a better high school using the Romanian data set studied in Pop-Eleches and Urquiola (2013). We find that the effect of going to a better school on a student’s probability of taking the Baccalaureate exam increases monotonically with peer quality of the school.

Keywords: average treatment effect; local average treatment effect; regression discontinuity; regression monotonicity; nonparametric (search for similar items in EconPapers)
Pages: 37 pages
Date: 2017-08
New Economics Papers: this item is included in nep-ecm
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.econ.sinica.edu.tw/~econ/pdfPaper/17-A010.pdf (application/pdf)

Related works:
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:sin:wpaper:17-a010

Access Statistics for this paper

More papers in IEAS Working Paper : academic research from Institute of Economics, Academia Sinica, Taipei, Taiwan Contact information at EDIRC.
Bibliographic data for series maintained by HsiaoyunLiu ().