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Bootstrap refinements for GMM based tests (in Russian)

Author

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  • Valentina Corradi

    (University of Warwick, UK)

Abstract

This essay provides a brief review about bootstrap higher order refinements for tests based on generalized method of moments estimators. First, we briefly describe the asymptotic behavior of two-step GMM estimators. Second, we give a heuristic argument for why inference based on bootstrap critical values is more accurate than that based on asymptotic normality. Third, we briefly summarize nonparametric resampling methods. Fourth, we outline how critical values based on the block bootstrap reduce the error in the rejection probability for t-tests based on GMM estimators. Finally, we give a overview of some alternative bootstrap procedures which provide improvements over the block bootstrap refinements.

Suggested Citation

  • Valentina Corradi, 2007. "Bootstrap refinements for GMM based tests (in Russian)," Quantile, Quantile, issue 3, pages 57-66, September.
    • Handle: RePEc:qnt:quantl:y:2007:i:3:p:57-66
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    File URL: https://pages.nes.ru/sanatoly/Quantile/03/03-VC.pdf
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    1. Borja, Mercedes, . "Estructura Y Funcionamiento De La Cadena Productiva De Esquilmos Agrícolas Como Forraje En La Región De El Bajío, México," Revista Mexicana de Agronegocios, Sociedad Mexicana de Administracion Agropecuaria, vol. 39(July-Dece), pages 1-14.
    2. Boubakri, Narjess & Cosset, Jean-Claude & Saffar, Walid, 2017. "The constraints on full privatization: International evidence," Journal of Corporate Finance, Elsevier, vol. 42(C), pages 392-407.
    3. World Bank, 2004. "India : Urban Property Taxes in Selected States," World Bank Publications - Reports 14403, The World Bank Group.
    4. Russell Davidson & James MacKinnon, 2000. "Bootstrap tests: how many bootstraps?," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 55-68.
    5. Peter Hall, 1996. "Incentives for industrial R&D: The Australian experience," Science and Public Policy, Oxford University Press, vol. 23(4), pages 215-228, August.
    6. Hall, Peter & Horowitz, Joel L, 1996. "Bootstrap Critical Values for Tests Based on Generalized-Method-of-Moments Estimators," Econometrica, Econometric Society, vol. 64(4), pages 891-916, July.
    7. Joshua D. Coval & Tobias J. Moskowitz, "undated". "Home Bias at Home: Local Equity Preference in Domestic Portfolios," CRSP working papers 501, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
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