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Two-Sided Search in International Markets

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Listed:
  • Jonathan Eaton
  • David Jinkins
  • James R. Tybout
  • Daniel Xu

Abstract

We develop a dynamic model of international business-to-business transactions in which sellers and buyers search for each other, with the probability of a match depending on both individual and aggregate search effort. Fit to customs records on U.S. apparel imports, the model captures key cross-sectional and dynamic features of international buyer-seller relationships. We use the model to make several quantitative inferences. First, we calculate the search costs borne by heterogeneous importers and exporters. Second, we provide a structural interpretation for the life cycles of importers and exporters as they endogenously acquire and lose foreign business partners. Third, we pursue counterfactuals that approximate the phaseout of the Agreement on Textiles and Clothing (the “China shock”) and the IT revolution. Lower search costs can significantly improve consumer welfare, but at the expense of importer profits. On the other hand, an increase in the population of foreign exporters can congest matching to the extent of dampening or even reversing the gains consumers enjoy from access to extra varieties and more retailers.

Suggested Citation

  • Jonathan Eaton & David Jinkins & James R. Tybout & Daniel Xu, 2022. "Two-Sided Search in International Markets," NBER Working Papers 29684, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:29684
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    Cited by:

    1. Krolikowski, Pawel M. & McCallum, Andrew H., 2021. "Goods-market frictions and international trade," Journal of International Economics, Elsevier, vol. 129(C).
    2. Andrew B. Bernard & Andreas Moxnes, 2018. "Networks and Trade," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 65-85, August.
    3. Jaerim Choi, 2021. "Two-sided heterogeneity, endogenous sharing, and international matching markets," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 72(2), pages 473-509, September.
    4. Emmanuel Dhyne & Ayumu Ken Kikkawa & Magne Mogstad & Felix Tintelnot, 2021. "Trade and Domestic Production Networks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(2), pages 643-668.
    5. Andrew B. Bernard & J. Bradford Jensen & Stephen J. Redding & Peter K. Schott, 2018. "Global Firms," Journal of Economic Literature, American Economic Association, vol. 56(2), pages 565-619, June.
    6. Jie Bai & Maggie Chen & Daniel Xu, 2018. "Search and Information Frictions on Global E-Commerce Platforms: Evidence from Aliexpress," Working Papers 18-17, NET Institute.
    7. Ryan Chahrour & Rosen Valchev, 2017. "International Medium of Exchange: Privilege and Duty," Boston College Working Papers in Economics 934, Boston College Department of Economics.
    8. Khorshed Alam & Mohammad Afshar Ali & Michael Erdiaw-Kwasie & Md Shahiduzzaman & Eswaran Velayutham & Peter A. Murray & Retha Wiesner, 2022. "Impact of ICTs on Innovation and Performance of Firms: Do Start-ups, Regional Proximity and Skills Matter?," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    9. Carballo, Jerónimo & Rodriguez Chatruc, Marisol & Salas Santa, Catalina & Volpe Martincus, Christian, 2022. "Online business platforms and international trade," Journal of International Economics, Elsevier, vol. 137(C).
    10. Brancaccio, Giulia & Kalouptsidi, Myrto & Papageorgiou, Theodore, 2020. "A guide to estimating matching functions in spatial models," International Journal of Industrial Organization, Elsevier, vol. 70(C).
    11. Carla Henriques & Clara Viseu, 2022. "Are ERDFs Devoted to Boosting ICTs in SMEs Inefficient? A Three-Stage SBM Approach," Sustainability, MDPI, vol. 14(17), pages 1-20, August.

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    JEL classification:

    • F12 - International Economics - - Trade - - - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

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