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Purchasing Power Parity Tests in Cointegrated Panels

Pedroni, Peter·2001·Review of Economics and Statistics

Abstract

This paper employs recently developed techniques for testing hypotheses in cointegrated panels to test the strong version of purchasing power parity for a panel of post Bretton Woods data. We compare results using fully modified and dynamic OLS approaches, and strongly reject the hypothesis. We also introduce a new between-dimension dynamic OLS estimator and find that the between-dimension FMOLS and DOLS estimates of the long-run deviation from purchasing power parity are larger than the corresponding within-dimension estimates. Finally, we attempt to reconcile these rejections with the mixed findings that have been reported in panel unit root studies.

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Metadata

Authors
Pedroni, P.
Venue
Review of Economics and Statistics
Published
2001-11
Volume
83
Issue
4
Pages
727-731
ISSN
  • 0034-6535 (ISSN-L)
  • 1530-9142
OpenAlex
W2161007982
Cited by
2,106
References
0
FWCI
19.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Purchasing Power Parity Tests in Cointegrated Panels. https://app.cochat.ai/papers/10.1162/003465301753237803
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Pedroni, P. (2001). Purchasing Power Parity Tests in Cointegrated Panels. Review of Economics and Statistics. https://doi.org/10.1162/003465301753237803

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.