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Consistent Estimation of Panel Data Models with a Multi-factor Error Structure

  • Bin Peng

    (Monash University)

  • Giovanni Forchini

    (University of Surrey)

This paper considers the panel data model with a multifactor structure in both the errors and the regressors which was studied by Pesaran (“Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure, Econometrica, 2006). Estimators are proposed that are consistent for fixed T as N tends to infinity. By allowing T to be fixed some of the assumptions imposed by Pesaran are relaxed and, at the same time, some of the complexities of the large N and T asymptotics are bypassed. A small Monte Carlo simulation shows that these new estimators are very accurate for very small values of T .

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File URL: http://www.fahs.surrey.ac.uk/economics/discussion_papers/2012/DP01-12.pdf
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Paper provided by School of Economics, University of Surrey in its series School of Economics Discussion Papers with number 0112.

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Length: 40 pages
Date of creation: Feb 2012
Date of revision:
Handle: RePEc:sur:surrec:0112
Contact details of provider: Postal: Guildford, Surrey GU2 5XH
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Web page: http://www.surrey.ac.uk/economics/
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  1. Peter C.B. Phillips & Donggyu Sul, 2003. "Bias in Dynamic Panel Estimation with Fixed Effects, Incidental Trends and Cross Section Dependence," Cowles Foundation Discussion Papers 1438, Cowles Foundation for Research in Economics, Yale University, revised Jun 2004.
  2. Donald Robertson & James Symons, 2000. "Factor residuals in SUR regressions: estimating panels allowing for cross sectional correlation," LSE Research Online Documents on Economics 20163, London School of Economics and Political Science, LSE Library.
  3. Peter C. B. Phillips & Donggyu Sul, 2003. "Dynamic panel estimation and homogeneity testing under cross section dependence *," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 217-259, 06.
  4. Rafael E. De Hoyos & Vasilis Sarafidis, 2006. "Testing for cross-sectional dependence in panel-data models," Stata Journal, StataCorp LP, vol. 6(4), pages 482-496, December.
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  6. Peter C.B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Cowles Foundation Discussion Papers 1222, Cowles Foundation for Research in Economics, Yale University.
  7. M. Hashem Pesaran, 2004. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," CESifo Working Paper Series 1331, CESifo Group Munich.
  8. Su, Liangjun & Jin, Sainan, 2012. "Sieve estimation of panel data models with cross section dependence," Journal of Econometrics, Elsevier, vol. 169(1), pages 34-47.
  9. Case, Anne C, 1991. "Spatial Patterns in Household Demand," Econometrica, Econometric Society, vol. 59(4), pages 953-65, July.
  10. Conley, T. G., 1999. "GMM estimation with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 92(1), pages 1-45, September.
  11. Jerry Coakley & Ana-Maria Fuertes & Ron Smith, 2002. "A Principal Components Approach to Cross-Section Dependence in Panels," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B5-3, International Conferences on Panel Data.
  12. Sarafidis, Vasilis & Yamagata, Takashi & Robertson, Donald, 2009. "A test of cross section dependence for a linear dynamic panel model with regressors," Journal of Econometrics, Elsevier, vol. 148(2), pages 149-161, February.
  13. Vasilis Sarafidis & Donald Robertson, 2009. "On the impact of error cross-sectional dependence in short dynamic panel estimation," Econometrics Journal, Royal Economic Society, vol. 12(1), pages 62-81, 03.
  14. Sarafidis, Vasilis, 2009. "GMM Estimation of Short Dynamic Panel Data Models With Error Cross-Sectional Dependence," MPRA Paper 25176, University Library of Munich, Germany.
  15. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, 07.
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