Christopher Tsoukis c.tsoukis@keele.ac.uk
Current accounts in the long run and the intertemporal approach: a panel data investigation
Tsoukis, Christopher; Cerrato, Mario; Kalyoncu, Huseyin; Hassan Naqvi, Naveed
Authors
Mario Cerrato
Huseyin Kalyoncu
Naveed Hassan Naqvi
Abstract
This paper is a theory-based study of the long-run determinants of the current account (CA). For many OECD economies after the Second World War, there has been more long-run variation in the CA data than is emphasised by a ‘Permanent Income’ version of the intertemporal approach that is based on consumption-smoothing and that allows only transitory CA imbalances. A theoretical model of the CA is developed, based on the ‘broader’ variant of the intertemporal approach that stresses the long-term component of the CA. We find that some key theoretical predictions hold, while others fail, validating the approach but also pointing to its limitations.
Citation
Tsoukis, C., Cerrato, M., Kalyoncu, H., & Hassan Naqvi, N. (2015). Current accounts in the long run and the intertemporal approach: a panel data investigation. World Economy, 38(2), 340-359. https://doi.org/10.1111/twec.12152
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 3, 2013 |
Publication Date | Feb 1, 2015 |
Journal | The World Economy |
Print ISSN | 0378-5920 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 38 |
Issue | 2 |
Pages | 340-359 |
DOI | https://doi.org/10.1111/twec.12152 |
Publisher URL | http://dx.doi.org/h10.1111/twec.12152 |
Files
CurrentAccounts-N-07-81-Revised-July09.pdf
(167 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc/4.0/
You might also like
Theory of Macroeconomic Policy
(2020)
Book
Social Capital and the Status Externality
(2020)
Journal Article
Testing for causality between FDI and economic growth using heterogeneous panel data
(2020)
Journal Article
Greece’s competitiveness: A survey and concluding remarks
(2018)
Book Chapter
Downloadable Citations
About Keele Repository
Administrator e-mail: research.openaccess@keele.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search