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Bill of lading data in international trade research with an application to the COVID‐19 pandemic

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Listed:
  • Aaron Flaaen
  • Flora Haberkorn
  • Logan Lewis
  • Anderson Monken
  • Justin Pierce
  • Rosemary Rhodes
  • Madeleine Yi

Abstract

We evaluate high‐frequency bill of lading data for international trade research. These data offer some advantages over both other publicly accessible trade data and confidential datasets, but they also have drawbacks. We analyze three aspects of trade during the COVID‐19 pandemic. First, we show how the high‐frequency data capture the within‐month collapse of trade between the United States and India that are not observable in official monthly data. Second, we demonstrate how U.S. buyers shifted their purchases across suppliers over time during the recovery. And third, we show how the data can measure vessel delivery bottlenecks in near real time.

Suggested Citation

  • Aaron Flaaen & Flora Haberkorn & Logan Lewis & Anderson Monken & Justin Pierce & Rosemary Rhodes & Madeleine Yi, 2023. "Bill of lading data in international trade research with an application to the COVID‐19 pandemic," Review of International Economics, Wiley Blackwell, vol. 31(3), pages 1146-1172, August.
    • Handle: RePEc:bla:reviec:v:31:y:2023:i:3:p:1146-1172
    DOI: 10.1111/roie.12657
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    References listed on IDEAS

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    1. 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.
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    3. Christoph E. Boehm & Aaron Flaaen & Nitya Pandalai-Nayar, 2019. "Input Linkages and the Transmission of Shocks: Firm-Level Evidence from the 2011 Tōhoku Earthquake," The Review of Economics and Statistics, MIT Press, vol. 101(1), pages 60-75, March.
    4. Andrew B. Bernard & Andreas Moxnes, 2018. "Networks and Trade," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 65-85, August.
    5. Nitish Jain & Karan Girotra & Serguei Netessine, 2014. "Managing Global Sourcing: Inventory Performance," Management Science, INFORMS, vol. 60(5), pages 1202-1222, May.
    6. Sharat Ganapati & Woan Foong Wong & Oren Ziv, 2024. "Entrepôt: Hubs, Scale, and Trade Costs," American Economic Journal: Macroeconomics, American Economic Association, vol. 16(4), pages 239-278, October.
    7. Diego A. Cerdeiro & Andras Komaromi, 2022. "Supply spillovers during the pandemic: Evidence from high‐frequency shipping data," The World Economy, Wiley Blackwell, vol. 45(11), pages 3451-3474, November.
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    Cited by:

    1. Colin A. Carter & Sandro Steinbach & Xiting Zhuang, 2023. "Supply chain disruptions and containerized agricultural exports from California ports," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(2), pages 1051-1071, June.
    2. Carter, Colin A. & Steinbach, Sandro & Zhuang, Xiting, 2022. "Global Shipping Container Disruptions and U.S. Agricultural Exports," Working Papers 320397, International Agricultural Trade Research Consortium.
    3. Meghana Ayyagari & Yuxi Cheng & Ariel Weinberger, 2022. "Surviving Pandemics: The Role of Spillovers," CESifo Working Paper Series 9891, CESifo.

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    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation

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