Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs

@article{Calonico2014RobustNC,
  title={Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs},
  author={Sebastian Calonico and M. D. Cattaneo and R. Titiunik},
  journal={Econometrica},
  year={2014},
  volume={82},
  pages={2295-2326}
}
In the regression‐discontinuity (RD) design, units are assigned to treatment based on whether their value of an observed covariate exceeds a known cutoff. In this design, local polynomial estimators are now routinely employed to construct confidence intervals for treatment effects. The performance of these confidence intervals in applications, however, may be seriously hampered by their sensitivity to the specific bandwidth employed. Available bandwidth selectors typically yield a “large… Expand

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