IDENTIFICATION AND ESTIMATION OF TREATMENT EFFECTS WITH A REGRESSION-DISCONTINUITY DESIGN

@article{Hahn2001IDENTIFICATIONAE,
  title={IDENTIFICATION AND ESTIMATION OF TREATMENT EFFECTS WITH A REGRESSION-DISCONTINUITY DESIGN},
  author={J. Hahn and P. Todd and W. V. D. Klaauw},
  journal={Econometrica},
  year={2001},
  volume={69},
  pages={201-209}
}
  • J. Hahn, P. Todd, W. V. D. Klaauw
  • Published 2001
  • Mathematics
  • Econometrica
  • Ž. 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. In the first application and discussion of the RD method, Thistlethwaite and Campbell… CONTINUE READING
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    References

    SHOWING 1-10 OF 15 REFERENCES
    Using Maimonides' Rule to Estimate the Effect of Class Size on Student Achievement
    • 1,038
    USING MAIMONIDES’ RULE TO ESTIMATE THE EFFECT OF CLASS SIZE ON SCHOLASTIC ACHIEVEMENT*
    • 1,180
    • PDF
    Asymptotic efficiency in semi-parametric models with censoring
    • 240
    The Economics and Econometrics of Active Labor Market Programs
    • 3,166
    • PDF
    Do better schools matter? Parental valuation of elementary education
    • 1,521
    • PDF
    Design-adaptive Nonparametric Regression
    • 1,262
    • PDF