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Specialization Patterns and the Factor Bias of Technology


  • Cuñat Alejandro

    () (University of Essex, CEP, and CEPR)

  • Maffezzoli Marco

    () (Università Commerciale “L. Bocconi” and IGIER)


Development accounting exercises based on an aggregate production function find technology is biased in favor of a country's abundant production factors. We provide an explanation for this finding based on the Heckscher-Ohlin model. Countries trade and specialize in the industries that use intensively the production factors they are abundantly endowed with. For given factor endowment ratios, this implies smaller international differences in factor price ratios than under autarky. Thus, when measuring the factor bias of technology with the same aggregate production function for all countries, they appear to have an abundant-factor bias in their technologies.

Suggested Citation

  • Cuñat Alejandro & Maffezzoli Marco, 2007. "Specialization Patterns and the Factor Bias of Technology," The B.E. Journal of Macroeconomics, De Gruyter, vol. 7(1), pages 1-27, July.
  • Handle: RePEc:bpj:bejmac:v:7:y:2007:i:1:n:16

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    References listed on IDEAS

    1. Caselli, Francesco, 2005. "Accounting for Cross-Country Income Differences," Handbook of Economic Growth,in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 9, pages 679-741 Elsevier.
    2. Alejandro Cuñat & Marco Maffezzoli, 2007. "Can Comparative Advantage Explain the Growth of us Trade?," Economic Journal, Royal Economic Society, vol. 117(520), pages 583-602, April.
    3. Francesco Caselli & Wilbur John Coleman II, 2006. "The World Technology Frontier," American Economic Review, American Economic Association, vol. 96(3), pages 499-522, June.
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    More about this item

    JEL classification:

    • F1 - International Economics - - Trade
    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity


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