Tests for Unbalanced Error Component Models Under Local Misspecication
Walter Sosa Escudero () and
Anil K. Bera
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Anil K. Bera: Department of Economics University of Illinois
CEDLAS, Working Papers from CEDLAS, Universidad Nacional de La Plata
Abstract:
This paper derives unbalanced versions of the tests statistics for ¯rst order serial correlation and random individual e®ects summarized in Sosa Escudero and Bera (2001), and updates their xttest1 routine. The derived tests statistics should be useful for applied researchers faced with the increasing availability of panel information where not every individual or country is observed for the full time span. Also, as it was the case of the previously available tests, the test statistics proposed here are based on the OLS residuals, and hence are computationally very simple.
Keywords: error components model; unbalanced panel data; testing; misspecification. (search for similar items in EconPapers)
JEL-codes: C12 C23 C52 (search for similar items in EconPapers)
Pages: 17 pages
Date: 2008-03
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (5)
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Persistent link: https://EconPapers.repec.org/RePEc:dls:wpaper:0065
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