Identification of Common Factors in Panel Data Growth Model

Pinar Deniz (), Thanasis Stengos and Ege Yazgan ()
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Pinar Deniz: Department of Economics, Marmara University

No 1802, Working Papers from University of Guelph, Department of Economics and Finance

Abstract: Cross sectional dependence may lead to inconsistent and inefficient estimators and as such misleading inferences when standard panel data techniques such as fixed/random effects are employed. Pesaran (2006) suggests incorporating cross sectional averages in panel data models as approximates of unobserved common factor(s) to deal with cross sectional dependence. In the context of a standard panel growth model we investigate whether these unobserved common factors can be identified and we find that institutional variables and life expectancy are able to adequately identify them.

Keywords: Growth Model; Panel Data; Common Factor; Principal Component Analysis (search for similar items in EconPapers)
JEL-codes: C23 C38 O43 O47 (search for similar items in EconPapers)
Pages: 14 pages
Date: 2018
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Citations: View citations in EconPapers (2)

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Related works:
Journal Article: Identification of common factors in panel data growth model (2018)
Working Paper: Identification of Common Factors in Panel Data Growth Model (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:gue:guelph:2018-02

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