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Geography, Search Frictions and Trade Costs

Author

Listed:
  • Theodore Papageorgiou

    (McGill)

  • Myrto Kalouptsidi

    (Harvard)

  • Giulia Brancaccio

    (Princeton)

Abstract

We build a framework that models the behavior of both exporters and transportation agents (ships); its spatial equilibrium determines world trade costs and flows. Our framework has the following three novel features: trade costs are endogenous and determined jointly with trade flows; trade costs depend on the entire network of trade linkages across countries; search frictions between exporters and ships can limit trade. The model features geography, forward-looking optimizing ships and exporters and search frictions. We estimate the model using a unique database on shipping contracts, global vessel movements from satellites and detailed sea weather data. Our empirical strategy allows us to obtain the main model primitives of interest (exporter valuations and exporting costs, ship costs), but also to measure the extent of search frictions. We flexibly recover both the matching function between exporters and ships, as well as the global distribution of exporters. We use the framework to revisit a number of questions. We show that world trade elasticities are lower if the ships' optimal reaction is accounted for. We consider China's super growth to show how shocks propagate through the network of countries. Finally, we quantify the loss due to search frictions.

Suggested Citation

  • Theodore Papageorgiou & Myrto Kalouptsidi & Giulia Brancaccio, 2017. "Geography, Search Frictions and Trade Costs," 2017 Meeting Papers 1105, Society for Economic Dynamics.
  • Handle: RePEc:red:sed017:1105
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    References listed on IDEAS

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    Cited by:

    1. Maarten Bosker & Eltjo Buringh, 2020. "Ice(berg) Transport Costs," The Economic Journal, Royal Economic Society, vol. 130(629), pages 1262-1287.
    2. Hayakawa, Kazunobu & Ishikawa, Jota & Tarui, Nori, 2020. "What goes around comes around: Export-enhancing effects of import-tariff reductions," Journal of International Economics, Elsevier, vol. 126(C).
    3. Ducruet, César & Juhász, Réka & Nagy, Dávid Krisztián & Steinwender, Claudia, 2024. "All aboard: The effects of port development," Journal of International Economics, Elsevier, vol. 151(C).
    4. Pablo D. Fajgelbaum & Edouard Schaal, 2020. "Optimal Transport Networks in Spatial Equilibrium," Econometrica, Econometric Society, vol. 88(4), pages 1411-1452, July.
    5. Dominik Boddin & Frank Stähler, 2018. "The Organization of International Trade," CESifo Working Paper Series 7378, CESifo.
    6. Kurt A. Hafner & Jörn Kleinert & Julia Spies, 2023. "Endogenous transport costs and international trade," The World Economy, Wiley Blackwell, vol. 46(3), pages 560-597, March.
    7. Miguel Puente‐Ajovín & Fernando Sanz‐Gracia, 2021. "Transport costs in new economic geography models: A more realistic approach," International Journal of Economic Theory, The International Society for Economic Theory, vol. 17(3), pages 221-233, September.
    8. Stamer, Vincent, 2022. "Thinking Outside the Container: A Sparse Partial Least Squares Approach to Forecasting Trade Flows," VfS Annual Conference 2022 (Basel): Big Data in Economics 264096, Verein für Socialpolitik / German Economic Association.
    9. Pol Antràs & Alonso de Gortari, 2020. "On the Geography of Global Value Chains," Econometrica, Econometric Society, vol. 88(4), pages 1553-1598, July.
    10. Coşar, A. Kerem & Demir, Banu, 2018. "Shipping inside the box: Containerization and trade," Journal of International Economics, Elsevier, vol. 114(C), pages 331-345.
    11. César Ducruet & Réka Juhász & David Krisztián Nagy & Claudia Steinwender, 2019. "All aboard: The aggregate effects of port development," Economics Working Papers 1708, Department of Economics and Business, Universitat Pompeu Fabra, revised Jan 2022.
    12. Alexander Sandkamp & Vincent Stamer & Shuyao Yang, 2022. "Where has the rum gone? The impact of maritime piracy on trade and transport," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(3), pages 751-778, August.
    13. Regli, Frederik & Nomikos, Nikos K., 2019. "The eye in the sky – Freight rate effects of tanker supply," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 402-424.
    14. Ademmer, Martin & Beckmann, Joscha & Bode, Eckhardt & Boysen-Hogrefe, Jens & Funke, Manuel & Hauber, Philipp & Heidland, Tobias & Hinz, Julian & Jannsen, Nils & Kooths, Stefan & Söder, Mareike & Stame, 2021. "Big Data in der makroökonomischen Analyse," Kieler Beiträge zur Wirtschaftspolitik 32, Kiel Institute for the World Economy (IfW Kiel).
    15. Stamer, Vincent, 2024. "Thinking outside the container: A sparse partial least squares approach to forecasting trade flows," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1336-1358.
    16. Buchholz, Nicholas & Doval, Laura & Kastl, Jakub & Matejka, Filip & Salz, Tobias, 2020. "The Value of Time: Evidence From Auctioned Cab Rides," CEPR Discussion Papers 14666, C.E.P.R. Discussion Papers.
    17. Asturias, Jose, 2020. "Endogenous transportation costs," European Economic Review, Elsevier, vol. 123(C).
    18. Ulltveit-Moe, Karen Helene & Heiland, Inga & Moxnes, Andreas & Zi, Yuan, 2019. "Trade From Space: Shipping Networks and The Global Implications of Local Shocks," CEPR Discussion Papers 14193, C.E.P.R. Discussion Papers.
    19. Stamer, Vincent, 2021. "Thinking outside the container: A machine learning approach to forecasting trade flows," Kiel Working Papers 2179, Kiel Institute for the World Economy (IfW Kiel).

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