@techreport{NBERw7131,
 title = "Evaluating the Effect of an Antidiscrimination Law Using a Regression-Discontinuity Design",
 author = "Jinyong Hahn and Petra Todd and Wilbert Van der Klaauw",
 institution = "National Bureau of Economic Research",
 type = "Working Paper",
 series = "Working Paper Series",
 number = "7131",
 year = "1999",
 month = "May",
 URL = "http://www.nber.org/papers/w7131",
 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 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.},
}