Random Coefficient Panel Data Models

نویسندگان

  • Cheng Hsiao
  • M. Hashem Pesaran
چکیده

Random Coefficient Panel Data Models 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. JEL Classification: C12, C13, C33

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تاریخ انتشار 2004