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Engineering robust instruments for GMM estimation of panel data regression models with errors in variables: a note

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  • Fran篩s-Éric Racicot

Abstract

Econometricians have long recognized the need to account in some way for measurement errors, specification errors and endogeneity to ensure that the ordinary least squares estimator is consistent. This article introduces a new generalized method of moments estimator that relies on robust instruments to estimate panel data regression models containing errors in variables. We show how this GMM approach can be generalized for the panel data framework using higher moments and cumulants as instruments. The new instruments, engineered for greater robustness, are proposed to tackle the pervasive problem of weak instruments.

Suggested Citation

  • Fran篩s-Éric Racicot, 2015. "Engineering robust instruments for GMM estimation of panel data regression models with errors in variables: a note," Applied Economics, Taylor & Francis Journals, vol. 47(10), pages 981-989, February.
    • Handle: RePEc:taf:applec:v:47:y:2015:i:10:p:981-989
    DOI: 10.1080/00036846.2014.985373
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    References listed on IDEAS

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    1. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    2. Francois-Éric Racicot, 2007. "Techniques alternatives d’estimation et tests en présence d’erreurs de mesure sur les variables explicatives," RePAd Working Paper Series UQO-DSA-wp022007, Département des sciences administratives, UQO.
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    Cited by:

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    2. Naffa, Helena & Fain, Máté, 2022. "A factor approach to the performance of ESG leaders and laggards," Finance Research Letters, Elsevier, vol. 44(C).
    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 Théoret, 2022. "Tracking market and non-traditional sources of risks in procyclical and countercyclical hedge fund strategies under extreme scenarios: a nonlinear VAR approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-56, December.
    5. François‐Eric Racicot & William F. Rentz & Raymond Théoret, 2025. "Is illiquidity priced in an international factor pricing model? A dynamic panel data application with robust IV," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 282-314, January.
    6. Konstantin B. Kostin & Philippe Runge & Leyla E. Mamedova, 2022. "Validity of the Fama-French Three- and Five-Factor Models in Crisis Settings at the Example of Select Energy-Sector Companies during the COVID-19 Pandemic," Mathematics, MDPI, vol. 11(1), pages 1-13, December.
    7. Poshakwale, Sunil S. & Chandorkar, Pankaj & Agarwal, Vineet, 2019. "Implied volatility and the cross section of stock returns in the UK," Research in International Business and Finance, Elsevier, vol. 48(C), pages 271-286.
    8. François-Éric Racicot & William F Rentz & David Tessier & Raymond Théoret, 2019. "The conditional Fama-French model and endogenous illiquidity: A robust instrumental variables test," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-26, September.
    9. Eunchong Kim & Taehee Cho & Bonha Koo & Hyoung-Goo Kang, 2023. "Conditional autoencoder asset pricing models for the Korean stock market," PLOS ONE, Public Library of Science, vol. 18(7), pages 1-30, July.
    10. 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.
    11. López-García, M.N. & Trinidad-Segovia, J.E. & Sánchez-Granero, M.A. & Pouchkarev, I., 2021. "Extending the Fama and French model with a long term memory factor," European Journal of Operational Research, Elsevier, vol. 291(2), pages 421-426.
    12. Yu Hao & Shang Gao & Yunxia Guo & Zhiqiang Gai & Haitao Wu, 2021. "Measuring the nexus between economic development and environmental quality based on environmental Kuznets curve: a comparative study between China and Germany for the period of 2000–2017," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16848-16873, November.

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