Explaining Trade Flows: Traditional and New Determinants of Trade Patterns
Julien Gourdon
Journal of Economic Integration, 2009, vol. 24, 53-86
Abstract:
An empirical tradition in international trade seeks to establish whether the predictions of factor abundance theory match with the data. In this paper, we test if the “new” determinants used in the factor content version of H-O-V models (differences in productivity, in returns to scale or in consumers’ preferences) help us to improve our estimation of trade patterns in commodities. The results show that conventional factors are still important in determining trade structure although new determinants need to be included to determine comparative advantage. Turning to the change across periods, differences in factor endowments have not diminished over time: we observe an increase in specialization according to skill endowment. Hence, those “new” determinants are not new forces that drive trade flows.
Keywords: international trade; Hecksher-Ohlin model (search for similar items in EconPapers)
JEL-codes: F11 F14 F20 (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (6)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Working Paper: Explaining Trade Flows: Traditional and New Determinants of Trade Patterns (2011) 
Working Paper: Explaining Trade Flows: Traditional and New Determinants of Trade Patterns (2007) 
Working Paper: Explaining Trade Flows: Traditional and New Determinants of Trade Patterns (2006) 
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:ris:integr:0465
Access Statistics for this article
Journal of Economic Integration is currently edited by Seongeun Kim
More articles in Journal of Economic Integration from Center for Economic Integration, Sejong University Contact information at EDIRC.
Bibliographic data for series maintained by Yunhoe Kim ().