IDEAS home Printed from https://ideas.repec.org/a/bla/reviec/v31y2023i3p1146-1172.html
   My bibliography  Save this article

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

Author

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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/roie.12657
    Download Restriction: no

    File URL: https://libkey.io/10.1111/roie.12657?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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.
    2. Mr. Diego A. Cerdeiro & Andras Komaromi & Yang Liu & Mamoon Saeed, 2020. "World Seaborne Trade in Real Time: A Proof of Concept for Building AIS-based Nowcasts from Scratch," IMF Working Papers 2020/057, International Monetary Fund.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vasco M. Carvalho & Alireza Tahbaz-Salehi, 2019. "Production Networks: A Primer," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 635-663, August.
    2. ARATA Yoshiyuki & MIYAKAWA Daisuke, 2022. "Demand Shock Propagation Through an Input-output Network in Japan," Discussion papers 22027, Research Institute of Economy, Trade and Industry (RIETI).
    3. Chacha, Peter Wankuru & Kirui, Benard Kipyegon & Wiedemann, Verena, 2024. "Supply Chains in Times of Crisis: Evidence from Kenya’s Production Network," World Development, Elsevier, vol. 173(C).
    4. Andrew B. Bernard & Andreas Moxnes, 2018. "Networks and Trade," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 65-85, August.
    5. Hayato Kato & Toshihiro Okubo, 2022. "The Resilience of FDI to Natural Disasters Through Industrial Linkages," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(1), pages 177-225, May.
    6. Johannes Boehm & Jan Sonntag, 2023. "Vertical Integration and Foreclosure: Evidence from Production Network Data," Management Science, INFORMS, vol. 69(1), pages 141-161, January.
    7. Santiago Camara, 2022. "Granular Linkages, Supplier Cost Shocks & Export Performance," Papers 2203.07282, arXiv.org.
    8. Yuzuka Kashiwagi & Yasuyuki Todo & Petr Matous, 2021. "Propagation of economic shocks through global supply chains—Evidence from Hurricane Sandy," Review of International Economics, Wiley Blackwell, vol. 29(5), pages 1186-1220, November.
    9. Emmanuel Dhyne & Ayumu Ken Kikkawa & Glenn Magerman, 2022. "Imperfect Competition in Firm-to-Firm Trade," Journal of the European Economic Association, European Economic Association, vol. 20(5), pages 1933-1970.
    10. Längle, Katharina & Xu, Ankai & Tian, Ruijie, 2021. "Assessing the supply chain effect of natural disasters: Evidence from Chinese manufacturers," WTO Staff Working Papers ERSD-2021-13, World Trade Organization (WTO), Economic Research and Statistics Division.
    11. Philipp Herkenhoff & Sebastian Krautheim & Philip Sauré, 2021. "A Simple Model of Buyer-Seller Networks in International Trade," CESifo Working Paper Series 9124, CESifo.
    12. Huang, Hanwei & Manova, Kalina & Perelló, Oscar & Pisch, Frank, 2024. "Firm Heterogeneity and Imperfect Competition in Global Production Networks," CEPR Discussion Papers 19408, C.E.P.R. Discussion Papers.
    13. Costinot, Arnaud & Adao, Rodrigo & Carrillo, Paul & Donaldson, Dave & Pomeranz, Dina, 2020. "International Trade and Earnings Inequality: A New Factor Content Approach," CEPR Discussion Papers 15598, C.E.P.R. Discussion Papers.
    14. Zheng Wang, 2021. "Blame the Foreigners? Exports and Sulfur Dioxide Emissions in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(2), pages 279-309, October.
    15. Zhiyuan Chen & Aksel Erbahar & Yuan Zi, 2019. "Made and Created in China: Super Processors and Two-way Heterogeneity," Tinbergen Institute Discussion Papers 19-080/VI, Tinbergen Institute.
    16. Meier, Matthias & Pinto, Eugenio, 2024. "COVID-19 Supply Chain Disruptions," European Economic Review, Elsevier, vol. 162(C).
    17. Matthew Elliott & Benjamin Golub & Matthew V. Leduc, 2022. "Supply Network Formation and Fragility," American Economic Review, American Economic Association, vol. 112(8), pages 2701-2747, August.
    18. Brian Cevallos Fujiy & Gaurav Khanna & Hiroshi Toma, 2022. "Cultural Proximity and Production Networks," Working Papers 686, Research Seminar in International Economics, University of Michigan.
    19. Zi, Yuan & Chen, Zhiyuan & Erbahar, Aksel, 2020. "Made and Created in China: The Role of Processing Trade," CEPR Discussion Papers 14486, C.E.P.R. Discussion Papers.
    20. Oliver Reiter & Robert Stehrer, 2023. "Assessing the importance of risky products in international trade and global value chains," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 7-33, February.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:reviec:v:31:y:2023:i:3:p:1146-1172. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0965-7576 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.