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A note on Bayesian interpretations of HCCME-type refinements for nonlinear GMM models

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  • Lin, Eric S.
  • Chou, Ta-Sheng

Abstract

In this note, we provide the application of HCCME-type refinements to nonlinear GMM models with Bayesian interpretations.

Suggested Citation

  • Lin, Eric S. & Chou, Ta-Sheng, 2012. "A note on Bayesian interpretations of HCCME-type refinements for nonlinear GMM models," Economics Letters, Elsevier, vol. 116(3), pages 494-497.
    • Handle: RePEc:eee:ecolet:v:116:y:2012:i:3:p:494-497
    DOI: 10.1016/j.econlet.2012.04.058
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    References listed on IDEAS

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    Cited by:

    1. Eric S. Lin & Ta-Sheng Chou, 2018. "Finite-sample refinement of GMM approach to nonlinear models under heteroskedasticity of unknown form," Econometric Reviews, Taylor & Francis Journals, vol. 37(1), pages 1-28, January.

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    More about this item

    Keywords

    Eicker–White HCCME; GMM; Nonlinear model; Bayesian bootstrap;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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