English, Article edition: A REVIEW AND COMPARISON OF TESTS OF CROSS-SECTION INDEPENDENCE IN PANELS Francesco Moscone; Elisa Tosetti

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Bookmark: http://trove.nla.gov.au/version/107850
Physical Description
  • article
Language
  • English

Edition details

Title
  • A REVIEW AND COMPARISON OF TESTS OF CROSS-SECTION INDEPENDENCE IN PANELS
Author
  • Francesco Moscone
  • Elisa Tosetti
Physical Description
  • article
Notes
  • In this paper we review and compare diagnostic tests of cross-section independence in the disturbances of panel regression models. We examine tests based on the sample pairwise correlation coefficient or on its transformations, and tests based on the theory of spacings. The ultimate goal is to shed some light on the appropriate use of existing diagnostic tests for cross-equation error correlation. Our discussion is supported by means of a set of Monte Carlo experiments and a small empirical study on health. Results show that tests based on the average of pairwise correlation coefficients work well when the alternative hypothesis is a factor model with non-zero mean loadings. Tests based on spacings are powerful in identifying various forms of strong cross-section dependence, but have low power when they are used to capture spatial correlation. Copyright © 2009 The Authors. Journal compilation © 2009 Blackwell Publishing Ltd.
  • RePEc:bla:jecsur:v:23:y:2009:i:3:p:528-561
Language
  • English
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