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Kernel Estimation of Average Derivatives and Differences

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  • Coppejans, Mark
  • Sieg, Holger

Abstract

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  • Coppejans, Mark & Sieg, Holger, 2005. "Kernel Estimation of Average Derivatives and Differences," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 211-225, April.
    • Handle: RePEc:bes:jnlbes:v:23:y:2005:p:211-225
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    Cited by:

    1. Kaido, Hiroaki, 2017. "Asymptotically Efficient Estimation Of Weighted Average Derivatives With An Interval Censored Variable," Econometric Theory, Cambridge University Press, vol. 33(5), pages 1218-1241, October.
    2. Rendon, Silvio, 2007. "Does Wealth Explain BlackWhite Differences in Early Employment Careers?," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 484-500, October.
    3. Yukitoshi Matsushita & Taisuke Otsu, 2017. "Likelihood inference on semiparametric models: Average derivative and treatment effect," STICERD - Econometrics Paper Series 592, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    4. Yukitoshi Matsushita & Taisuke Otsu, 2018. "Likelihood Inference on Semiparametric Models: Average Derivative and Treatment Effect," The Japanese Economic Review, Springer, vol. 69(2), pages 133-155, June.
    5. Kotlyarova, Yulia & Schafgans, Marcia M. A. & Zinde‐Walsh, Victoria, 2011. "Adapting kernel estimation to uncertain smoothness," LSE Research Online Documents on Economics 42015, London School of Economics and Political Science, LSE Library.
    6. Lee, Myoung-jae & Kim, Young-sook, 2007. "Multinomial choice and nonparametric average derivatives," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 63-81, January.

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