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Large panel data models with cross-sectional dependence: a survey

  • Alexander Chudik
  • M. Hashem Pesaran

This paper provides an overview of the recent literature on estimation and inference in large panel data models with cross-sectional dependence. It reviews panel data models with strictly exogenous regressors as well as dynamic models with weakly exogenous regressors. The paper begins with a review of the concepts of weak and strong cross-sectional dependence, and discusses the exponent of cross-sectional dependence that characterizes the different degrees of cross-sectional dependence. It considers a number of alternative estimators for static and dynamic panel data models, distinguishing between factor and spatial models of cross-sectional dependence. The paper also provides an overview of tests of independence and weak cross-sectional dependence.

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File URL: http://www.dallasfed.org/assets/documents/institute/wpapers/2013/0153.pdf
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Paper provided by Federal Reserve Bank of Dallas in its series Globalization and Monetary Policy Institute Working Paper with number 153.

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Date of creation: 2013
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Handle: RePEc:fip:feddgw:153
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