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Free Trade Agreements and the Movement of Business People

Author

Listed:
  • Thierry Mayer
  • Hillel Rapoport
  • Camilo Umana Dajud

Abstract

Many of the measures to contain Covid-19 severely reduced business travel. Using provisions to ease the movement of business visitors in trade agreements, we show that removing barriers to the movement of business people promotes trade. To do this, we first document the increasing complexity of Free Trade Agreements. We then develop an algorithm that combines machine learning and text analysis techniques to examine the content of FTAs. We use the algorithm to determine which FTAs include provisions to facilitate the movement of business people and whether those provisions are included in dispute settlement mechanisms. Using these data and accounting for the overall depth of FTAs, we show that provisions facilitating business travel indeed facilitate business travel (but not permanent migration) and, eventually, increase bilateral trade flows.

Suggested Citation

  • Thierry Mayer & Hillel Rapoport & Camilo Umana Dajud, 2021. "Free Trade Agreements and the Movement of Business People," Working Papers 2021-10, CEPII research center.
  • Handle: RePEc:cii:cepidt:2021-10
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    References listed on IDEAS

    as
    1. Combes, Pierre-Philippe & Lafourcade, Miren & Mayer, Thierry, 2005. "The trade-creating effects of business and social networks: evidence from France," Journal of International Economics, Elsevier, vol. 66(1), pages 1-29, May.
    2. Anderson, James E. & Yotov, Yoto V., 2020. "Short run gravity," Journal of International Economics, Elsevier, vol. 126(C).
    3. Dany Bahar & Hillel Rapoport, 2018. "Migration, Knowledge Diffusion and the Comparative Advantage of Nations," Economic Journal, Royal Economic Society, vol. 128(612), pages 273-305, July.
    4. repec:hal:journl:hal-04246927 is not listed on IDEAS
    5. Todd Allee & Manfred Elsig & Andrew Lugg, 2017. "Is the European Union Trade Deal with Canada New or Recycled? A Text-as-data Approach," Global Policy, London School of Economics and Political Science, vol. 8(2), pages 246-252, May.
    6. Cristea, Anca D., 2011. "Buyer-seller relationships in international trade: Evidence from U.S. States' exports and business-class travel," Journal of International Economics, Elsevier, vol. 84(2), pages 207-220, July.
    7. Dür, Andreas & Baccini, Leonardo & Elsig, Manfred, 2014. "The design of international trade agreements: introducing a new dataset," LSE Research Online Documents on Economics 59179, London School of Economics and Political Science, LSE Library.
    8. Michele Coscia & Frank M. H. Neffke & Ricardo Hausmann, 2020. "Knowledge diffusion in the network of international business travel," Nature Human Behaviour, Nature, vol. 4(10), pages 1011-1020, October.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Covid-19; Business travel; Free Trade Agreements; Machine Learning; Text Analysis;
    All these keywords.

    JEL classification:

    • F10 - International Economics - - Trade - - - General
    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F15 - International Economics - - Trade - - - Economic Integration
    • F20 - International Economics - - International Factor Movements and International Business - - - General

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