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Sources of International Comparative Advantage

Theory and Evidence

Edward E. Leamer (Director, UCLA -School of Management)

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Paperback

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English
MIT Press
21 October 1985
This is the first book to present a clear empirical picture of the international exchange of goods and of the resources that account for the exchanges that occur. It fully articulates the Heckscher-Ohlin theory of international comparative advantage, in which a country's factor endowments (land, labor, capital) play a crucial role in determining trade patterns. The theory is carefully link to the book's analysis. Using tables, graphs, and econometric data summaries, Learner describes the patterns of trade and the patterns of resource supplies of fifty-nine countries and explains these trade patterns in terms of the abundance of eleven resources. His study should create a standard by which other data analyses will be judged in the future.
By:  
Imprint:   MIT Press
Country of Publication:   United States
Edition:   New edition
Dimensions:   Height: 229mm,  Width: 152mm,  Spine: 25mm
ISBN:   9780262620512
ISBN 10:   0262620510
Series:   Sources of International Comparative Advantage
Pages:   384
Publication Date:  
Recommended Age:   From 18 years
Audience:   College/higher education ,  Professional and scholarly ,  A / AS level ,  Further / Higher Education
Format:   Paperback
Publisher's Status:   Active

Edward E. Leamer is Chauncey J. Medberry Professor of Management, Professor of Economics, and Professor of Statistics at the University of California, Los Angeles. He is the author Macroeconomic Patterns and Stories and other books.

Reviews for Sources of International Comparative Advantage: Theory and Evidence

Learner's new book represents one of the most serious attempts at linking economic theory with observations that I have ever encountered. The underlying intellectual honesty in approaching all econometric problems involved is most impressive and should serve as a shining example to all applied econometricians. - Jan Kmenta, Professor of Economics and Statistics, University of Michigan.


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