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Poor (Wo)man's Bootstrap

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  • Bo E. Honoré
  • Luojia Hu

Abstract

The bootstrap is a convenient tool for calculating standard errors of the parameter estimates of complicated econometric models. Unfortunately, the fact that these models are complicated often makes the bootstrap extremely slow or even practically infeasible. This paper proposes an alternative to the bootstrap that relies only on the estimation of one‐dimensional parameters. We introduce the idea in the context of M and GMM estimators. A modification of the approach can be used to estimate the variance of two‐step estimators.

Suggested Citation

  • Bo E. Honoré & Luojia Hu, 2017. "Poor (Wo)man's Bootstrap," Econometrica, Econometric Society, vol. 85, pages 1277-1301, July.
    • Handle: RePEc:wly:emetrp:v:85:y:2017:i::p:1277-1301
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    Cited by:

    1. Honoré, Bo E. & Hu, Luojia, 2018. "Easy bootstrap-like estimation of asymptotic variances," Economics Letters, Elsevier, vol. 171(C), pages 46-50.

    More about this item

    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

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