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A Dynamic “Fixed Effects” Model for Heterogeneous Panel Data

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  • Diana Weinhold

    (London School of Economics)

Abstract

This paper introduces a dynamic panel data model in which the intercepts and the coefficients on the lagged endogenous variables are specific to the cross section units, while the coefficients on the exogenous variables are assumed to be normally distributed across the cross section. Thus the model includes mixture of fixed coefficients and random coefficients, which I call the “MFR” model. The paper shows that this model has several desirable characteristics. In particular, the model allows for a considerable degree of heterogeneity across the cross section both in the dynamics and in the relationship between the independent and dependent variables. Estimation of the MFR model produces an estimate of the variance of the coefficients across the cross section units which can be used as a diagnostic tool to judge how widespread a relationship is and whether pooling of the data is appropriate. In addition, unlike LSDV estimation of dynamic panel models, the MFR model does not produce severely biased estimates when T is small.

Suggested Citation

  • Diana Weinhold, 2004. "A Dynamic “Fixed Effects” Model for Heterogeneous Panel Data," Econometrics 0410003, EconWPA.
  • Handle: RePEc:wpa:wuwpem:0410003
    Note: Type of Document - pdf; pages: 18
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    References listed on IDEAS

    as
    1. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    2. Hsiao, Cheng & Mountain, Dean C. & Chan, M. W. Luke & Tsui, Kai Y., 1989. "Modeling Ontario regional electricity system demand using a mixed fixed and random coefficients approach," Regional Science and Urban Economics, Elsevier, vol. 19(4), pages 565-587, December.
    3. Ruth Judson & Ann L. Owen, "undated". "Estimating Dynamic Panel Data Models: A Practical Guide for Macroeconomists," Finance and Economics Discussion Series 1997-03, Board of Governors of the Federal Reserve System (U.S.).
    4. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    5. Keane, Michael P & Runkle, David E, 1992. "On the Estimation of Panel-Data Models with Serial Correlation When Instruments Are Not Strictly Exogenous," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(1), pages 1-9, January.
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    Citations

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    Cited by:

    1. Andreas Dietrich, 2012. "Does growth cause structural change, or is it the other way around? A dynamic panel data analysis for seven OECD countries," Empirical Economics, Springer, vol. 43(3), pages 915-944, December.
    2. A.R. Kemal & Abdul Qayyum & Muhammad Nadim Hanif, 2007. "Financial Development and Economic Growth: Evidence from a Heterogeneous Panel of High Income Countries," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 12(1), pages 1-34, Jan-Jun.
    3. Dierk Herzer & Stephan Klasen & Felicitas Nowak-Lehmann D., 2006. "In search of FDI-led growth in developing countries," Ibero America Institute for Econ. Research (IAI) Discussion Papers 150, Ibero-America Institute for Economic Research.
    4. Qayyum, Abdul & Siddiqui, Rehana & Hanif, Muhammad Nadim, 2004. "Financial Development and Economic Growth: Evidence from Heterogeneous Panel Data of Low Income Countries," MPRA Paper 23431, University Library of Munich, Germany.
    5. Erkan Erdil & I. Hakan Yetkiner, 2004. "A Panel Data Approach for Income-Health Causality," Working Papers FNU-47, Research unit Sustainability and Global Change, Hamburg University, revised Apr 2004.

    More about this item

    Keywords

    dynamic fixed effects panel data; heterogenous coefficients;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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