Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design

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Citation

Hahn, Jin Yong; Todd, Petra E.; & van der Klaauw, Wilbert (2001). Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design. Econometrica, 69(1), 201-209.

Abstract

THE REGRESSION DISCONTINUITY (RD) data design is a quasi-experimental design with the defining characteristic that the probability of receiving treatment changes discontinuously as a function of one or more underlying variables. This data design arises frequently in economic and other applications but is only infrequently exploited as a source of identifying information in evaluating effects of a treatment.

URL

https://www.jstor.org/stable/2692190

Reference Type

Journal Article

Year Published

2001

Journal Title

Econometrica

Author(s)

Hahn, Jin Yong
Todd, Petra E.
van der Klaauw, Wilbert