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A Note on Covariance Matrix Estimation in Quantile Regressions

Author

Listed:
  • Hongtao Guo

    (Bertolon School of Business, Salem State University, Salem, MA 01970, USA)

  • Zhijie Xiao

    (Department of Economics, Boston College, Chestnut Hill, MA 02467, USA)

Abstract

This note discusses some issues related to bandwidth selection based on moment expansions of the mean squared error (MSE) of the regression quantile estimator. We use higher order expansions to provide a way to distinguish among asymptotically equivalent nonparametric estimators. We derive approximations to the (standardized) MSE of the covariance matrix estimation. This facilitates a comparison of different estimators at the second order level, where differences do occur and depend on the bandwidth choice. A method of bandwidth selection is defined by minimizing the second order effect in the mean squared error.

Suggested Citation

  • Hongtao Guo & Zhijie Xiao, 2014. "A Note on Covariance Matrix Estimation in Quantile Regressions," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 9(2), pages 165-173, June.
  • Handle: RePEc:fec:journl:v:9:y:2014:i:2:p:165-173
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    File URL: http://journal.hep.com.cn/fec/EN/10.3868/s060-003-014-0009-3
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    More about this item

    Keywords

    bandwidth selection; expansion; quantile regression;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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