IDEAS home Printed from https://ideas.repec.org/a/eee/jmacro/v85y2025ics0164070425000199.html

Back to trend: COVID effects on E-commerce in 44 countries

Author

Listed:
  • Alcedo, Joel
  • Cavallo, Alberto
  • Mishra, Prachi
  • Spilimbergo, Antonio

Abstract

We study online spending shares in 44 economies and 26 industries during the COVID-19 pandemic, using online transaction data from Mastercard. The online shares of total credit card transactions surged during the pandemic during lockdowns, but since returned to pre-pandemic trends in most countries. The differences between countries are strongly correlated with the mobility and fiscal measures. There is little evidence of permanent structural changes in e-commerce spending patterns. Finally, we estimate that COVID-19-related restrictions on in-person spending imposed average welfare costs of 7 percent.

Suggested Citation

  • Alcedo, Joel & Cavallo, Alberto & Mishra, Prachi & Spilimbergo, Antonio, 2025. "Back to trend: COVID effects on E-commerce in 44 countries," Journal of Macroeconomics, Elsevier, vol. 85(C).
  • Handle: RePEc:eee:jmacro:v:85:y:2025:i:c:s0164070425000199
    DOI: 10.1016/j.jmacro.2025.103682
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0164070425000199
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jmacro.2025.103682?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Keane, Michael & Neal, Timothy, 2021. "Consumer panic in the COVID-19 pandemic," Journal of Econometrics, Elsevier, vol. 220(1), pages 86-105.
    2. Sheth, Jagdish, 2020. "Impact of Covid-19 on consumer behavior: Will the old habits return or die?," Journal of Business Research, Elsevier, vol. 117(C), pages 280-283.
    3. JiHyo Moon & Yunseon Choe & HakJun Song, 2021. "Determinants of Consumers’ Online/Offline Shopping Behaviours during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(4), pages 1-15, February.
    4. Austan Goolsbee & Peter J. Klenow, 2006. "Valuing Consumer Products by the Time Spent Using Them: An Application to the Internet," American Economic Review, American Economic Association, vol. 96(2), pages 108-113, May.
    5. Edward L. Glaeser & Hyunjin Kim & Michael Luca, 2019. "Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 249-273, National Bureau of Economic Research, Inc.
    6. Nicholas Bloom & Robert S. Fletcher & Ethan Yeh, 2021. "The Impact of COVID-19 on US Firms," NBER Working Papers 28314, National Bureau of Economic Research, Inc.
    7. Cavallo, Alberto, 2013. "Online and official price indexes: Measuring Argentina's inflation," Journal of Monetary Economics, Elsevier, vol. 60(2), pages 152-165.
    8. José María Barrero & Nicholas Bloom & Steven J. Davis, 2023. "The Evolution of Work from Home," Journal of Economic Perspectives, American Economic Association, vol. 37(4), pages 23-50, Fall.
    9. Aditya Aladangady & Shifrah Aron-Dine & Wendy Dunn & Laura Feiveson & Paul Lengermann & Claudia Sahm, 2021. "From Transaction Data to Economic Statistics: Constructing Real-Time, High-Frequency, Geographic Measures of Consumer Spending," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 115-145, National Bureau of Economic Research, Inc.
    10. Carvalho, V & Garcia, Juan R. & Hansen, S. & Ortiz, A. & Rodrigo, T. & More, J. V. R., 2020. "Tracking the COVID-19 Crisis with High-Resolution Transaction Data," Cambridge Working Papers in Economics 2030, Faculty of Economics, University of Cambridge.
    11. Ms. Prachi Mishra & Alvaro Ortiz & Tomasa Rodrigo & Mr. Antonio Spilimbergo & Sirenia Vazquez, 2024. "E-Commerce During COVID in Spain: One “Click” Does Not Fit All," IMF Working Papers 2024/107, International Monetary Fund.
    12. Raj Chetty & John N Friedman & Michael Stepner & Opportunity Insights Team & Camille Baker & Harvey Barnhard & Matt Bell & Gregory Bruich & Tina Chelidze & Lucas Chu & Westley Cineus & Sebi Devlin-Fol, 2024. "The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(2), pages 829-889.
    13. Grigoli, Francesco & Pugacheva, Evgenia, 2024. "COVID-19 inflation weights in the UK and Germany," Journal of Macroeconomics, Elsevier, vol. 79(C).
    14. Shaw, Norman & Eschenbrenner, Brenda & Baier, Daniel, 2022. "Online shopping continuance after COVID-19: A comparison of Canada, Germany and the United States," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).
    15. Fassnacht, Martin & Unterhuber, Sebastian, 2016. "Consumer response to online/offline price differentiation," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 137-148.
    16. Liran Einav & Jonathan Levin, 2014. "The Data Revolution and Economic Analysis," Innovation Policy and the Economy, University of Chicago Press, vol. 14(1), pages 1-24.
    17. Katharine G. Abraham & Ron S. Jarmin & Brian C. Moyer & Matthew D. Shapiro, 2020. "Introduction: Big Data for Twenty-First-Century Economic Statistics: The Future Is Now," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 1-22, National Bureau of Economic Research, Inc.
    18. Raphael Auer & Giulio Cornelli & Jon Frost, 2022. "The pandemic, cash and retail payment behaviour: insights from the future of payments database," BIS Working Papers 1055, Bank for International Settlements.
    19. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    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. Florian Dorn & Marie-Theres Gasser & Kevin Kloiber & Simon Krause & Carla Krolage, 2026. "Who Scores from Hosting Sports Events? Local Spending Effects of the EURO 2024," CESifo Working Paper Series 12555, 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. Joel Alcedo & Alberto Cavallo & Bricklin Dwyer & Prachi Mishra & Antonio Spilimbergo, 2022. "Back to Trend: COVID Effects on E-commerce in 47 Countries," NBER Working Papers 29729, National Bureau of Economic Research, Inc.
    2. Daniel Aaronson & Scott A. Brave & Michael Fogarty & Ezra Karger & Spencer D. Krane, 2021. "Tracking U.S. Consumers in Real Time with a New Weekly Index of Retail Trade," Working Paper Series WP-2021-05, Federal Reserve Bank of Chicago, revised 18 Jun 2021.
    3. Resce, Giuliano & Maynard, Diana, 2018. "What matters most to people around the world? Retrieving Better Life Index priorities on Twitter," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 61-75.
    4. Péter Elek & Anikó Bíró & Petra Fadgyas‐Freyler, 2021. "Income gradient of pharmaceutical panic buying at the outbreak of the COVID‐19 pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2312-2320, September.
    5. Cerqua, Augusto & Letta, Marco, 2022. "Local inequalities of the COVID-19 crisis," Regional Science and Urban Economics, Elsevier, vol. 92(C).
    6. Nathan, Max & Rosso, Anna, 2014. "Mapping information economy businesses with big data: findings from the UK," LSE Research Online Documents on Economics 60615, London School of Economics and Political Science, LSE Library.
    7. Hoshi, Takeo & Kawaguchi, Daiji & Ueda, Kenichi, 2023. "Zombies, again? The COVID-19 business support programs in Japan," Journal of Banking & Finance, Elsevier, vol. 147(C).
    8. Götz, Thomas B. & Knetsch, Thomas A., 2019. "Google data in bridge equation models for German GDP," International Journal of Forecasting, Elsevier, vol. 35(1), pages 45-66.
    9. Nathan, Max & Rosso, Anna, 2014. "Mapping information economy businesses with big data: findings from the UK," LSE Research Online Documents on Economics 60615, London School of Economics and Political Science, LSE Library.
    10. Cavallo, Alberto & Kryvtsov, Oleksiy, 2023. "What can stockouts tell us about inflation? Evidence from online micro data," Journal of International Economics, Elsevier, vol. 146(C).
    11. Justin Longo & Alan Rodney Dobell, 2018. "The Limits of Policy Analytics: Early Examples and the Emerging Boundary of Possibilities," Politics and Governance, Cogitatio Press, vol. 6(4), pages 5-17.
    12. Barry, John W. & Campello, Murillo & Graham, John R. & Ma, Yueran, 2022. "Corporate flexibility in a time of crisis," Journal of Financial Economics, Elsevier, vol. 144(3), pages 780-806.
    13. Kristina Gligorić & Arnaud Chiolero & Emre Kıcıman & Ryen W. White & Robert West, 2022. "Population-scale dietary interests during the COVID-19 pandemic," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    14. Gaofeng Guan & Dong Liu & Jiayang Zhai, 2022. "Factors Influencing Consumer Satisfaction of Fresh Produce E-Commerce in the Background of COVID-19—A Hybrid Approach Based on LDA-SEM-XGBoost," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    15. Hiroyasu INOUE & Yasuyuki TODO, 2022. "Has COVID-19 Permanently Changed Online Consumption Behavior?," Discussion papers 22018, Research Institute of Economy, Trade and Industry (RIETI).
    16. Martin O'Connell & Áureo de Paula & Kate Smith, 2021. "Preparing for a pandemic: spending dynamics and panic buying during the COVID‐19 first wave," Fiscal Studies, John Wiley & Sons, vol. 42(2), pages 249-264, June.
    17. Jamal, Shaila & Li, Chunjiang & Tiznado-Aitken, Ignacio & Farber, Steven, 2025. "Exploring equity implications of online grocery, online restaurant delivery and e-shopping service usage in a suburban context," Journal of Transport Geography, Elsevier, vol. 129(C).
    18. Justin Longo & Alan Rodney Dobell, 2018. "The Limits of Policy Analytics: Early Examples and the Emerging Boundary of Possibilities," Politics and Governance, Cogitatio Press, vol. 6(4), pages 5-17.
    19. Gallin, Joshua & Molloy, Raven & Nielsen, Eric & Smith, Paul & Sommer, Kamila, 2021. "Measuring aggregate housing wealth: New insights from machine learning ☆," Journal of Housing Economics, Elsevier, vol. 51(C).
    20. Francis Rathinam & Sayak Khatua & Zeba Siddiqui & Manya Malik & Pallavi Duggal & Samantha Watson & Xavier Vollenweider, 2021. "Using big data for evaluating development outcomes: A systematic map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(3), September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • F00 - International Economics - - General - - - General

    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:eee:jmacro:v:85:y:2025:i:c:s0164070425000199. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622617 .

    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.