Do exchange rate changes improve the trade balance: An asymmetric nonlinear cointegration approach
Augustine C. Arize,
John Malindretos and
Emmanuel U. Igwe
International Review of Economics & Finance, 2017, vol. 49, issue C, 313-326
Abstract:
This paper examines the impact of real effective exchange rate on the trade balance of eight countries in the context of several nonlinear techniques, especially the nonlinear auto-regressive distributed lag model (NARDL). The advantages of the NARDL approach vis-à-vis earlier approaches is that it provides more efficient short-run and long-run coefficient estimates and allows through the distributed lag and the long-run dynamics a single common cointegrating vector. Both parts are allowed to be asymmetric. While previous studies have relied on models that ignored the time series properties of the variable and some have used the linear ARDL and obtained mixed results, the current paper uses the nonlinear auto-regressive distributed lag model (NARDL). We show that this is due to the assumption that the relationship is symmetric in nature. Results from long-run cointegration analysis, short-run analysis and half-lives, all provide evidence indicating that when depreciation is separated from appreciation, it is shown to have significant effects on the trade balance but in an asymmetric model.
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (130)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1059056016301939
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:reveco:v:49:y:2017:i:c:p:313-326
DOI: 10.1016/j.iref.2017.02.007
Access Statistics for this article
International Review of Economics & Finance is currently edited by H. Beladi and C. Chen
More articles in International Review of Economics & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().