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Heteroskedasticity‐Robust Standard Errors for Dynamic Panel Data Models with Fixed Effects

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  • Chirok Han
  • Hyoungjong Kim

Abstract

For linear panel data models with fixed effects, cluster‐robust covariance estimation does not use variability over time. The extant heteroskedasticity‐robust methods available under strict exogeneity do not generalize to dynamic models. We propose novel robust covariance estimators under a strong version of serial uncorrelatedness, where serial uncorrelatedness is required to identify dynamic panel models. Asymptotics are established, and simulations verify theoretical findings. The estimator can apply to the popular dynamic IV‐GMM estimators and be a sharper alternative for cluster‐robust covariance estimators in panel data models with limited cross‐sectional information.

Suggested Citation

  • Chirok Han & Hyoungjong Kim, 2023. "Heteroskedasticity‐Robust Standard Errors for Dynamic Panel Data Models with Fixed Effects," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(5), pages 1135-1155, October.
  • Handle: RePEc:bla:obuest:v:85:y:2023:i:5:p:1135-1155
    DOI: 10.1111/obes.12554
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    1. Guido W. Imbens & Michal Kolesár, 2016. "Robust Standard Errors in Small Samples: Some Practical Advice," The Review of Economics and Statistics, MIT Press, vol. 98(4), pages 701-712, October.
    2. Ekrame Boubtane & Jean-Christophe Dumont & Christophe Rault, 2016. "Immigration and economic growth in the OECD countries 1986–2006," Oxford Economic Papers, Oxford University Press, vol. 68(2), pages 340-360.
    3. Charles Yuji Horioka & Junmin Wan, 2007. "The Determinants of Household Saving in China: A Dynamic Panel Analysis of Provincial Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(8), pages 2077-2096, December.
    4. Angelo Castaldo & Alessandro Fiorini & Bernardo Maggi, 2018. "Measuring (in a time of crisis) the impact of broadband connections on economic growth: an OECD panel analysis," Applied Economics, Taylor & Francis Journals, vol. 50(8), pages 838-854, February.
    5. Han, Chirok & Kim, Hyoungjong, 2014. "The role of constant instruments in dynamic panel estimation," Economics Letters, Elsevier, vol. 124(3), pages 500-503.
    6. Zhang, Chuanguo & Zhuang, Lihuan, 2011. "The composition of human capital and economic growth: Evidence from China using dynamic panel data analysis," China Economic Review, Elsevier, vol. 22(1), pages 165-171, March.
    7. Yang, Yong, 2012. "Agglomeration density and tourism development in China: An empirical research based on dynamic panel data model," Tourism Management, Elsevier, vol. 33(6), pages 1347-1359.
    8. Sai Ding & John Knight, 2011. "Why has China Grown So Fast? The Role of Physical and Human Capital Formation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(2), pages 141-174, April.
    9. James H. Stock & Mark W. Watson, 2008. "Heteroskedasticity-Robust Standard Errors for Fixed Effects Panel Data Regression," Econometrica, Econometric Society, vol. 76(1), pages 155-174, January.
    10. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    11. Hansen, Christian B., 2007. "Asymptotic properties of a robust variance matrix estimator for panel data when T is large," Journal of Econometrics, Elsevier, vol. 141(2), pages 597-620, December.
    12. Medeiros, Victor & Ribeiro, Rafael Saulo Marques, 2020. "Power infrastructure and income inequality: Evidence from Brazilian state-level data using dynamic panel data models," Energy Policy, Elsevier, vol. 146(C).
    13. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    14. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    15. Çoban, Serap & Topcu, Mert, 2013. "The nexus between financial development and energy consumption in the EU: A dynamic panel data analysis," Energy Economics, Elsevier, vol. 39(C), pages 81-88.
    16. Love, Inessa & Zicchino, Lea, 2006. "Financial development and dynamic investment behavior: Evidence from panel VAR," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 190-210, May.
    17. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    18. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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    More about this item

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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