IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/29729.html
   My bibliography  Save this paper

Back to Trend: COVID Effects on E-commerce in 47 Countries

Author

Listed:
  • Joel Alcedo
  • Alberto Cavallo
  • Bricklin Dwyer
  • Prachi Mishra
  • Antonio Spilimbergo

Abstract

We study E-commerce across 47 economies and 26 industries during the COVID-19 pandemic using online transaction data from Mastercard. The online share of total credit card transactions surged during the pandemic, especially as governments made transfers to households in lockdown. As the fiscal support and mobility restrictions waned, online shares went back to pre-pandemic trends in almost all countries. We find little evidence of long-lasting structural changes in E-commerce spending patterns.

Suggested Citation

  • 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.
  • Handle: RePEc:nbr:nberwo:29729
    Note: IFM IO
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w29729.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Arthur Turrell & Bradley Speigner & Jyldyz Djumalieva & David Copple & James Thurgood, 2019. "Transforming Naturally Occurring Text Data into Economic Statistics: The Case of Online Job Vacancy Postings," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 173-207, National Bureau of Economic Research, Inc.
    2. 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.
    3. 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.
    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. Chad Syverson, 2017. "Challenges to Mismeasurement Explanations for the US Productivity Slowdown," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 165-186, Spring.
    6. Cavallo, Alberto, 2013. "Online and official price indexes: Measuring Argentina's inflation," Journal of Monetary Economics, Elsevier, vol. 60(2), pages 152-165.
    7. Yoon J. Jo & Misaki Matsumura & David E. Weinstein, 2019. "The Impact of E-Commerce on Relative Prices and Consumer Welfare," NBER Working Papers 26506, National Bureau of Economic Research, Inc.
    8. Mr. Tidiane Kinda, 2019. "E-commerce as a Potential New Engine for Growth in Asia," IMF Working Papers 2019/135, International Monetary Fund.
    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. Joël Cariolle & Florian Léon, 2022. "How internet helped firms to cope with COVID-19," Working Papers hal-03592617, HAL.
    2. Axenbeck, Janna & Bertschek, Irene & Breithaupt, Patrick & Erdsiek, Daniel, 2023. "Firm digitalisation and mobility - Do Covid-19-related changes persist?," ZEW Discussion Papers 23-011, ZEW - Leibniz Centre for European Economic Research.
    3. Witold Chmielarz & Marek Zborowski & Xuetao Jin & Mesut Atasever & Justyna Szpakowska, 2022. "On a Comparative Analysis of Individual Customer Purchases on the Internet for Poland, Turkey and the People’s Republic of China at the Time of the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    4. Liviu Andrei Toader & Dorel Mihai Paraschiv & Florentina Chițu, 2023. "The Effects of Individuals’ Levels of Computer Skills on the ICT Sector Employment in the European Union during the COVID-19 Pandemics," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 26(85), pages 67-77, June.
    5. Kahr, Michael, 2022. "Determining locations and layouts for parcel lockers to support supply chain viability at the last mile," Omega, Elsevier, vol. 113(C).
    6. Mr. Francesco Grigoli & Evgenia Pugacheva, 2022. "Updating Inflation Weights in the UK and Germany during COVID-19," IMF Working Papers 2022/204, International Monetary Fund.
    7. Guo, Jianxin & Jin, Songqing & Zhao, Jichun & Wang, Hongbiao & Zhao, Fang, 2022. "Has COVID-19 accelerated the E-commerce of agricultural products? Evidence from sales data of E-stores in China," Food Policy, Elsevier, vol. 112(C).
    8. Jean-Victor Alipour & Oliver Falck & Simon Krause & Carla Krolage & Sebastian Wichert, 2022. "Working from Home and Consumption in Cities," CESifo Working Paper Series 10000, 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. 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.
    2. Tomoyuki Yagi & Kakuho Furukawa & Jouchi Nakajima, 2022. "Productivity Trends in Japan - Reviewing Recent Facts and the Prospects for the Post-COVID-19 Era -," Bank of Japan Working Paper Series 22-E-10, Bank of Japan.
    3. Philip ME Garboden, 2019. "Sources and Types of Big Data for Macroeconomic Forecasting," Working Papers 2019-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    4. Charles R. Hulten & Leonard I. Nakamura, 2017. "Accounting for Growth in the Age of the Internet The Importance of Output-Saving Technical Change," Working Papers 17-24, Federal Reserve Bank of Philadelphia.
    5. Ian Goldin & Pantelis Koutroumpis & François Lafond & Julian Winkler, 2024. "Why Is Productivity Slowing Down?," Journal of Economic Literature, American Economic Association, vol. 62(1), pages 196-268, March.
    6. Susan Athey & Michael Luca, 2019. "Economists (and Economics) in Tech Companies," Journal of Economic Perspectives, American Economic Association, vol. 33(1), pages 209-230, Winter.
    7. Charles Hulten & Leonard I. Nakamura, 2020. "Expanded GDP for Welfare Measurement in the 21st Century," NBER Chapters, in: Measuring and Accounting for Innovation in the Twenty-First Century, pages 19-59, National Bureau of Economic Research, Inc.
    8. Erik Brynjolfsson & Avinash Collis & Felix Eggers, 2019. "Using massive online choice experiments to measure changes in well-being," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(15), pages 7250-7255, April.
    9. Leonard Nakamura & Jon Samuels & Rachel Soloveichik, 2017. "Measuring the Free Digital Economy within the GDP and Productivity Accounts," BEA Working Papers 0146, Bureau of Economic Analysis.
    10. Bridgman, Benjamin, 2022. "Is Productivity On Vacation? The Impact Of The Digital Economy On The Value Of Leisure," Macroeconomic Dynamics, Cambridge University Press, vol. 26(1), pages 127-148, January.
    11. Wroński Marcin, 2019. "The productivity growth slowdown in advanced economies: causes and policy recommendations," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 55(4), pages 391-406, December.
    12. Alejandra Bellatin & Stephanie Houle, 2021. "Overlooking the online world: Does mismeasurement of the digital economy explain the productivity slowdown?," Staff Analytical Notes 2021-10, Bank of Canada.
    13. Paul Dolfen & Liran Einav & Peter J. Klenow & Benjamin Klopack & Jonathan D. Levin & Larry Levin & Wayne Best, 2023. "Assessing the Gains from E-Commerce," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(1), pages 342-370, January.
    14. David S. Evans, 2019. "Attention Platforms, the Value of Content, and Public Policy," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(4), pages 775-792, June.
    15. William Bednar & Nick Pretnar, 2019. "Home Production with Time to Consume," 2019 Meeting Papers 328, Society for Economic Dynamics.
    16. 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.
    17. Aránzazu Guillán Montero & David Le Blanc, 2019. "Lessons for Today from Past Periods of Rapid Technological Change," Working Papers 158, United Nations, Department of Economics and Social Affairs.
    18. Mioara, POPESCU, 2015. "Construction Of Economic Indicators Using Internet Searches," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 6(1), pages 25-31.
    19. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Central banks’ inflation forecasts under asymmetric loss: Evidence from four Latin-American countries," Economics Letters, Elsevier, vol. 129(C), pages 66-70.
    20. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Studying Information Acquisition in the Field: A Practical Guide and Review," CEBI working paper series 21-15, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).

    More about this item

    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • F00 - International Economics - - General - - - General
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:29729. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.