PANEL DATA TESTS OF PPP: A CRITICAL OVERVIEW

Guglielmo Maria Caporale and Mario Cerrato

Public Policy Discussion Papers from Economics and Finance Section, School of Social Sciences, Brunel University

Abstract: This paper reviews recent developments in the analysis of non-stationary panels, focusing on empirical applications of panel unit root and cointegration tests in the context of PPP. It highlights various drawbacks of existing methods. First, unit root tests suffer from severe size distortions in the presence of negative moving average errors. Second, the common demeaning procedure to correct for the bias resulting from homogeneous cross-sectional dependence is not effective; more worryingly, it introduces cross-correlation when it is not already present. Third, standard corrections for the case of heterogeneous cross-sectional dependence do not generally produce consistent estimators. Fourth, if there is between-group correlation in the innovations, the SURE estimator is affected by similar problems to FGLS methods, and does not necessarily outperform OLS. Finally, cointegration between different groups in the panel could also be a source of size distortions. We offer some empirical guidelines to deal with these problems, but conclude that panel methods are unlikely to solve the PPP puzzle.

Pages: 42 pages
Date: 2004-10
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Related works:
Journal Article: Panel data tests of PPP: a critical overview (2006)
Working Paper: PANEL DATA TESTS OF PPP: A CRITICAL OVERVIEW (2004)
Working Paper: Panel Data Tests of PPP. A Critical Overview (2004)
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Persistent link: https://EconPapers.repec.org/RePEc:bru:bruppp:04-18

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