Testing for serial correlation in linear panel-data models

David Drukker

Stata Journal, 2003, vol. 3, issue 2, 168-177

Abstract: Because serial correlation in linear panel-data models biases the standard errors and causes the results to be less efficient, researchers need to identify serial correlation in the idiosyncratic error term in a panel-data model. A new test for serial correlation in random- or fixed-effects one-way models derived by Wooldridge (2002) is attractive because it can be applied under general conditions and is easy to implement. This paper presents simulation evidence that the new Wooldridge test has good size and power properties in reasonably sized samples. Copyright 2003 by Stata Corporation.

Keywords: panel data; serial correlation; specification tests (search for similar items in EconPapers)
Date: 2003
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Citations: View citations in EconPapers (549)

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