Long-run purchasing power parity redux
David Papell and
Ruxandra Prodan
Journal of International Money and Finance, 2020, vol. 109, issue C
Abstract:
We test for long-run covariability between nominal exchange rate depreciation and inflation differentials to provide a new perspective on long-run Purchasing Power Parity (PPP). The method directly tests Cassel’s concept of relative PPP and is more robust to departures from exact unit roots in nominal exchange rates or relative prices than standard unit root and cointegration tests for PPP. The central result of the paper is that the 90 percent confidence interval for (1) the long-run correlation coefficient is above zero and (2) the long-run linear regression coefficient contains one and, therefore, long-run PPP cannot be rejected for 9 of the 16 countries. For six of the countries, adding a third criterion that the confidence interval for the long-run linear regression coefficient have relatively narrow bands provides strong evidence of long-run PPP. The evidence of long-run PPP is much stronger for high inflation/high depreciation countries than for low inflation/low depreciation countries.
Keywords: Purchasing power parity; Long-run covariability (search for similar items in EconPapers)
JEL-codes: C32 F40 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0261560620302163
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jimfin:v:109:y:2020:i:c:s0261560620302163
DOI: 10.1016/j.jimonfin.2020.102260
Access Statistics for this article
Journal of International Money and Finance is currently edited by J. R. Lothian
More articles in Journal of International Money and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().