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Easy bootstrap-like estimation of asymptotic variances

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  • Honoré, Bo E.
  • Hu, Luojia

Abstract

The bootstrap is a convenient tool for calculating standard errors of the parameter estimates of complicated econometric models. Unfortunately, the bootstrap can be very time-consuming. In a recent paper, Honoré and Hu (2017), we propose a “Poor (Wo)man’s Bootstrap” based on one-dimensional estimators. In this paper, we propose a modified, simpler method and illustrate its potential for estimating asymptotic variances.

Suggested Citation

  • Honoré, Bo E. & Hu, Luojia, 2018. "Easy bootstrap-like estimation of asymptotic variances," Economics Letters, Elsevier, vol. 171(C), pages 46-50.
    • Handle: RePEc:eee:ecolet:v:171:y:2018:i:c:p:46-50
    DOI: 10.1016/j.econlet.2018.07.002
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    References listed on IDEAS

    as
    1. Bo E. Honoré & Luojia Hu, 2017. "Poor (Wo)man's Bootstrap," Econometrica, Econometric Society, vol. 85, pages 1277-1301, July.
    2. Newey, Whitney K., 1984. "A method of moments interpretation of sequential estimators," Economics Letters, Elsevier, vol. 14(2-3), pages 201-206.
    3. Hahn, Jinyong, 1996. "A Note on Bootstrapping Generalized Method of Moments Estimators," Econometric Theory, Cambridge University Press, vol. 12(1), pages 187-197, March.
    4. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
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    More about this item

    Keywords

    Standard error; Bootstrap; Inference; Censored regression; Two-step estimation;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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