Redding, Stephen (2002) Specialization dynamics. Journal of International Economics, 58 (2). pp. 299-334. ISSN 0022-1996
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Abstract
This paper proposes a new empirical framework for analyzing specialization dynamics. A country’s pattern of specialization is viewed as a distribution across sectors, and statistical techniques for analyzing the evolution of this entire distribution are employed. The empirical framework is implemented using data on 20 industries in 7 OECD countries since 1970. We find substantial mobility in patterns of specialization. Over time horizons of 5 years, this is largely explained by forces common across countries including world prices and common changes in technical efficiency. Over longer time horizons, country-specific changes in factor endowments become more important. There is no evidence of an increase in countries’ overall degree of specialization.
Item Type: | Article |
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Official URL: | http://www.elsevier.com/wps/find/journaldescriptio... |
Additional Information: | Copyright © 2005 Elsevier B.V. LSE has developed LSE Research Online so that users may access research output of the School. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Users may download and/or print one copy of any article(s) in LSE Research Online to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain. You may freely distribute the URL (http://eprints.lse.ac.uk) of the LSE Research Online website. |
Divisions: | Centre for Economic Performance Economics |
Subjects: | H Social Sciences > HB Economic Theory |
JEL classification: | F - International Economics > F1 - Trade > F14 - Country and Industry Studies of Trade F - International Economics > F1 - Trade > F11 - Neoclassical Models of Trade C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C14 - Semiparametric and Nonparametric Methods |
Date Deposited: | 30 Jun 2006 |
Last Modified: | 11 Dec 2024 22:30 |
URI: | http://eprints.lse.ac.uk/id/eprint/210 |
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