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Matching and Sorting in a Global Economy

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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," Edinburgh School of Economics Discussion Paper Series 227, Edinburgh School of Economics, University of Edinburgh.
  • Handle: RePEc:edn:esedps:227
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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. Richard Chisik & Julian Emami Namini, 2019. "International Trade And Labor‐Market Discrimination," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 353-371, January.
    4. Gene M. Grossman & Elhanan Helpman, 2018. "Growth, Trade, and Inequality," Econometrica, Econometric Society, vol. 86(1), pages 37-83, January.
    5. Juan A. Correa & Francisco Parro, 2020. "On the heterogeneous short‐term effects of minimum wages on labor demand," International Journal of Economic Theory, The International Society for Economic Theory, vol. 16(2), pages 184-195, June.
    6. 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.
    7. Teresa C. Fort, 2017. "Technology and Production Fragmentation: Domestic versus Foreign Sourcing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(2), pages 650-687.
    8. 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.
    9. 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.
    10. SUGITA, Yoichi & 杉田, 洋一, 2017. "A Matching Theory of Global Supply Chains," Discussion paper series HIAS-E-62, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    11. 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

    Keywords

    heterogeneous labor; matching; sorting; productivity; wage distribution; international trade;
    All these keywords.

    JEL classification:

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

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