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GMM Estimators for Linear Regression Models with Errors in the Variables

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  • Dagenais, M.G.
  • Dagenais, D.L.

Abstract

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Suggested Citation

  • Dagenais, M.G. & Dagenais, D.L., 1994. "GMM Estimators for Linear Regression Models with Errors in the Variables," Cahiers de recherche 9404, Universite de Montreal, Departement de sciences economiques.
  • Handle: RePEc:mtl:montde:9404
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    File URL: http://hdl.handle.net/1866/2037
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    Citations

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    Cited by:

    1. Denyse L. Dagenais & Marcel Dagenais, 1995. "Higher Moment Estimators for Linear Regression Models With Errors in the Variables," CIRANO Working Papers 95s-13, CIRANO.
    2. Yves Sprumont, 1998. "On the Game-Theoretic Structure of Public-Good Economies," International Journal of Game Theory, Springer;Game Theory Society, vol. 26(4), pages 455-472.
    3. François-Éric Racicot & William F. Rentz & Alfred L. Kahl, 2017. "Rolling Regression Analysis of the Pástor-Stambaugh Model: Evidence from Robust Instrumental Variables," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 23(1), pages 75-90, February.
    4. François-Éric Racicot & Raymond Th�oret, 2012. "Optimally weighting higher-moment instruments to deal with measurement errors in financial return models," Applied Financial Economics, Taylor & Francis Journals, vol. 22(14), pages 1135-1146, July.
    5. Dagenais, Marcel G. & Dagenais, Denyse L., 1997. "Higher moment estimators for linear regression models with errors in the variables," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 193-221.
    6. Jean-Louis ARCAND & Marcel DAGENAIS, 2005. "Errors in Variables and the Empirics of Economic Growth," Working Papers 200536, CERDI.
    7. Margolis, D..N., 1995. "Firm Heterogeneity and Worker Self-Selection Bias Estimated Returns to Seniority," Cahiers de recherche 9502, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    8. Racicot, François-Éric & Rentz, William F., 2018. "Does Illiquidity Matter? An Errors-in-Variables Perspective/¿Es importante la iliquidez? Un análisis desde el enfoque de errores en variables," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 36, pages 251-262, Enero.

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