Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

An Economic Approach to Generalizing Findings from Regression-Discontinuity Designs

An Economic Approach to Generalizing Findings from Regression-Discontinuity Designs <p>ABSTRACT:</p><p>Regression-discontinuity (RD) designs estimate treatment effects only around a cutoff. This paper shows what can be learned about average treatment effects for the treated (ATT), untreated (ATUT), and population (ATE) if the cutoff was chosen to maximize the net gain from treatment. Without capacity constraints, the RD estimate bounds the ATT from below and the ATUT from above, implying bounds for the ATE, and optimality of the cutoff rules out constant treatment effects. Bounds are typically looser if the capacity constraint binds. Testable implications of cutoff optimality are derived. The results are demonstrated using previous RD studies.</p> http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Human Resources University of Wisconsin Press

An Economic Approach to Generalizing Findings from Regression-Discontinuity Designs

Mehta, Nirav
Journal of Human Resources , Volume 54 (4) – Nov 7, 2019
Download PDF
33 pages

Loading next page...
 
/lp/university-of-wisconsin-press/an-economic-approach-to-generalizing-findings-from-regression-a4LK7j7FEz

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
University of Wisconsin Press
Copyright
© Board of Regents of the University of Wisconsin System
ISSN
1548-8004

Abstract

<p>ABSTRACT:</p><p>Regression-discontinuity (RD) designs estimate treatment effects only around a cutoff. This paper shows what can be learned about average treatment effects for the treated (ATT), untreated (ATUT), and population (ATE) if the cutoff was chosen to maximize the net gain from treatment. Without capacity constraints, the RD estimate bounds the ATT from below and the ATUT from above, implying bounds for the ATE, and optimality of the cutoff rules out constant treatment effects. Bounds are typically looser if the capacity constraint binds. Testable implications of cutoff optimality are derived. The results are demonstrated using previous RD studies.</p>

Journal

Journal of Human Resources – University of Wisconsin Press

Published: Nov 7, 2019

There are no references for this article.