The J-Curve Hypothesis: Evidence from Commodity Trade Between South Africa and the United States
H. Amusa and
David Fadiran
Studies in Economics and Econometrics, 2019, vol. 43, issue 1, 39-62
Abstract:
Previous studies on the J-curve hypothesis for South Africa have relied on aggregate trade data between South Africa and the rest of the world, or on similar data for trade between South Africa and its major trading partners. The evidence of J-curve effects in South Africa's bilateral trade have been mixed. In this paper, we revisit this issue by examining the short- and long-run effects of exchange-rate changes on trade flows using disaggregated industry data on bilateral trade between South Africa and the United States. From estimates of trade balance models using the autoregressive distributed lag (ARDL) approach, we find evidence of significant J-curve effects, as a depreciation of the South African currency has favourable short-run effects on trade balances for eight industries. These short-run effects continue into the long run for a quarter of the industries considered in the study. The results also show that income has significant long-run effects on trade flows in industries that account for almost 55% of trade flows between South Africa and the United States.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1080/10800379.2019.12097343 (text/html)
Access to full text is restricted to subscribers.
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:taf:rseexx:v:43:y:2019:i:1:p:39-62
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rsee20
DOI: 10.1080/10800379.2019.12097343
Access Statistics for this article
Studies in Economics and Econometrics is currently edited by Willem Bester
More articles in Studies in Economics and Econometrics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().