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Random Coefficient Panel Data Models

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  • Hsiao, Cheng

    (University of Southern California)

  • Pesaran, M. Hashem

    (University of Cambridge)

Abstract

This paper provides a review of linear panel data models with slope heterogeneity, introduces various types of random coefficients models and suggest a common framework for dealing with them. It considers the fundamental issues of statistical inference of a random coefficients formulation using both the sampling and Bayesian approaches. The paper also provides a review of heterogeneous dynamic panels, testing for homogeneity under weak exogeneity, simultaneous equation random coefficient models, and the more recent developments in the area of cross-sectional dependence in panel data models.

Suggested Citation

  • Hsiao, Cheng & Pesaran, M. Hashem, 2004. "Random Coefficient Panel Data Models," IZA Discussion Papers 1236, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp1236
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    References listed on IDEAS

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    More about this item

    Keywords

    random coefficient models; dynamic heterogeneous panels; classical and Bayesian approaches; tests of slope heterogeneity; cross section dependence;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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