Remittances and GDP in Jamaica: An ARDL Bounds Testing Approach to Cointegration
Anupam Das,
Adian McFarlane and
Young Cheol Jung
International Economic Journal, 2019, vol. 33, issue 2, 365-381
Abstract:
Similar to other developing nations, Jamaica’s remittances, specifically inflows, are an important source of income support and foreign exchange earnings. Anecdotally, much has been said about the relationship between remittances and GDP in this country. Yet, less has been established using rigorous statistical inference. We test for unit roots with structural breaks and use the autoregressive distributed lag (ARDL) approach to cointegration to help fill this lacuna in the literature on Jamaica. Using annual data for the 1976–2014 period, we examine the relationship between GDP and remittances, both measured in constant 2010 US dollar terms, as we control for the common determinants of economic growth. The main finding is that GDP and remittances are cointegrated relationship wherein they both reinforce each other positively. This finding is statistically robust as the ARDL models have well-behaved errors and parameters that are generally stable over the period. We discuss policy implications of this finding.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://hdl.handle.net/10.1080/10168737.2019.1597144 (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:intecj:v:33:y:2019:i:2:p:365-381
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RIEJ20
DOI: 10.1080/10168737.2019.1597144
Access Statistics for this article
International Economic Journal is currently edited by Jaymin Lee Editor
More articles in International Economic Journal from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().