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Matching and Sorting in a Global Economy

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  • Gene M. Grossman
  • Elhanan Helpman
  • Philipp Kircher

Abstract

We develop a neoclassical trade model with heterogeneous factors of production. We consider a world with two factors, labor and "managers", each with a distribution of ability levels. Production combines a manager of some type with a group of workers. The output of a unit depends on the types of the two factors, with complementarity between them, while exhibiting diminishing returns to the number of workers. We examine the sorting of factors to sectors and the matching of factors within sectors, and we use the model to study the determinants of the trade pattern and the effects of trade on the wage and salary distributions. Finally, we extend the model to include search frictions and consider the distribution of employment rates.

Suggested Citation

  • Gene M. Grossman & Elhanan Helpman & Philipp Kircher, 2013. "Matching and Sorting in a Global Economy," NBER Working Papers 19513, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:19513
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    References listed on IDEAS

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    8. Manolis Galenianos & Philipp Kircher, 2012. "On The Game‐Theoretic Foundations Of Competitive Search Equilibrium," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(1), pages 1-21, February.
    9. Arnaud Costinot, 2009. "An Elementary Theory of Comparative Advantage," Econometrica, Econometric Society, vol. 77(4), pages 1165-1192, July.
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    Cited by:

    1. Gabriel Felbermayr & Giammario Impullitti & Julien Prat, 2018. "Firm Dynamics and Residual Inequality in Open Economies," Journal of the European Economic Association, European Economic Association, vol. 16(5), pages 1476-1539.
    2. Gene Grossman, 2013. "Heterogeneous workers and international trade," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 149(2), pages 211-245, June.
    3. Hector Chade & Jan Eeckhout & Lones Smith, 2017. "Sorting through Search and Matching Models in Economics," Journal of Economic Literature, American Economic Association, vol. 55(2), pages 493-544, June.
    4. Muendler, Marc-Andreas, 2017. "Trade, technology, and prosperity: An account of evidence from a labor-market perspective," WTO Staff Working Papers ERSD-2017-15, World Trade Organization (WTO), Economic Research and Statistics Division.
    5. Markus Poschke, 2018. "The Firm Size Distribution across Countries and Skill-Biased Change in Entrepreneurial Technology," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(3), pages 1-41, July.
    6. SUGITA, Yoichi, 2017. "A Matching Theory of Global Supply Chains," Discussion paper series HIAS-E-62, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    7. Tommaso Porzio, 2016. "Distance to the Technology Frontier and the Allocation of Talent," 2016 Meeting Papers 569, Society for Economic Dynamics.

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    More about this item

    JEL classification:

    • F11 - International Economics - - Trade - - - Neoclassical Models of Trade
    • F16 - International Economics - - Trade - - - Trade and Labor Market Interactions

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