Direction of trade and wage inequality
Sherif Khalifa
Applied Economics Letters, 2014, vol. 21, issue 13, 898-901
Abstract:
Contrary to the predictions of the 2×2×2 Heckscher-Ohlin model, empirical evidence shows that the skill premium increased in some developing countries and decreased in others after trade liberalization. Khalifa (2014) attempts to reconcile the empirical evidence with the theoretical predictions by introducing a theoretical set-up that includes the additional aspect of South-South trade. The model shows that South-South trade openness can cause the skill premium to increase in the Southern country that is relatively more skill abundant, and to decrease in the Southern country that is relatively less skill abundant. This article introduces an empirical analysis to test the theoretical predictions of Khalifa (2014) using threshold estimation techniques introduced by Hansen (1999). The results suggest the presence of a statistically significant skill abundance threshold, below which the estimate of the coefficient of the relationship between South-South trade openness and wage inequality is negative, and above which the point estimate is positive.
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2014.896976 (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:apeclt:v:21:y:2014:i:13:p:898-901
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20
DOI: 10.1080/13504851.2014.896976
Access Statistics for this article
Applied Economics Letters is currently edited by Anita Phillips
More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().