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Optimal Bandwidth Selection for Differences of Nonparametric Estimators with an Application to the Sharp Regression Discontinuity Design

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  • Yoichi Arai

    (National Graduate Institute for Policy Studies)

  • Hidehiko Ichimura

    (The University of Tokyo)

Abstract

We consider the problem of choosing two bandwidths simultaneously for estimating the difference of two functions at given points. When the asymptotic approximation of the mean squared error (AMSE) criterion is used, we show that minimization problem is not well-defined when the sign of the product of the second derivatives of the underlying functions at the estimated points is positive. To address this problem, we theoretically define and construct estimators of the asymptotically first-order optimal (AFO) bandwidths which are well-defined regardless of the sign. They are based on objective functions which incorporate a second-order bias term. Our approach is general enough to cover estimation problems related to densities and regression functions at interior and boundary points. We provide a detailed treatment of the sharp regression discontinuity design.

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Bibliographic Info

Paper provided by National Graduate Institute for Policy Studies in its series GRIPS Discussion Papers with number 13-09.

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Length: 41 pages
Date of creation: Jun 2013
Date of revision:
Handle: RePEc:ngi:dpaper:13-09

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References

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  1. Jens Ludwig & Douglas L. Miller, 2005. "Does Head Start Improve Children's Life Chances? Evidence from a Regression Discontinuity Design," NBER Working Papers 11702, National Bureau of Economic Research, Inc.
  2. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
  3. Imbens, Guido W. & Kalyanaraman, Karthik, 2009. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," IZA Discussion Papers 3995, Institute for the Study of Labor (IZA).
  4. Yoichi Arai & Hidehiko Ichimura, 2013. "Optimal Bandwidth Selection for Differences of Nonparametric Estimators with an Application to the Sharp Regression Discontinuity Design," CIRJE F-Series CIRJE-F-889, CIRJE, Faculty of Economics, University of Tokyo.
  5. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
  6. Doug Miller & Jens Ludwig, 2005. "Does Head Start Improve Children’s Life Chances? Evidence from a Regression Discontinuity Design," Working Papers 534, University of California, Davis, Department of Economics.
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Cited by:
  1. Yoichi Arai & Hidehiko Ichimura, 2013. "Optimal Bandwidth Selection for Differences of Nonparametric Estimators with an Application to the Sharp Regression Discontinuity Design," CIRJE F-Series CIRJE-F-889, CIRJE, Faculty of Economics, University of Tokyo.
  2. Yoichi Arai & Hidehiko Ichimura, 2014. "Simultaneous Selection of Optimal Bandwidths for the Sharp Regression Discontinuity Estimator," CIRJE F-Series CIRJE-F-927, CIRJE, Faculty of Economics, University of Tokyo.

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