TY  - JOUR
AU  - Hahn,Jinyong
AU  - Todd,Petra
AU  - Klaauw,Wilbert Van der
TI  - Evaluating the Effect of an Antidiscrimination Law Using a Regression-Discontinuity Design
JF  - National Bureau of Economic Research Working Paper Series
VL  - No. 7131
PY  - 1999
Y2  - May 1999
UR  - http://www.nber.org/papers/w7131
L1  - http://www.nber.org/papers/w7131.pdf
N1  - Author contact info:
Jinyong Hahn
UCLA
E-Mail: hahn@econ.ucla.edu

Petra E. Todd
Department of Economics
University of Pennsylvania
3718 Locust Walk
Philadelphia, PA  19104
Tel: 215/898-4084
Fax: 215/573-2057
E-Mail: ptodd@econ.upenn.edu

Wilbert H. van der Klaauw
33 Liberty Street
Research and Statistics, Federal Reserve Bank NY
New York, NY 10045
E-Mail: Wilbert.vanderklaauw@ny.frb.org
AB  - 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 individual characteristics.  This data design occasionally arises in economic and other applications but is only infrequently exploited in evaluating the effects of a treatment.  We consider the problem of identification and estimation of treatment effects under a RD data design.  We offer an interpretation of the IV or so-called Wald estimator as a regression discontinuity estimator.  We propose nonparametric estimators of treatment effects and present their asymptotic distribution theory.  Then we apply the estimation method to evaluate the effect of EEOC-coverage on minority employment in small U.S. firms.
ER  -