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Evaluating the Effect of an Antidiscrimination Law Using a Regression-Discontinuity Design Author info | Abstract | Publisher info | Download info | Related research | Statistics Jinyong Hahn
Petra Todd
Wilbert Van der Klaauw
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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.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
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Date of creation: May 1999Date of revision:
Handle: RePEc:nbr:nberwo:7131Note: LSContact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A. Phone: 617-868-3900 Email: Web page: http://www.nber.org More information through EDIRC
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Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
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