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The early impact of COVID-19 on local commerce: changes in spend across neighborhoods and online

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  • Relihan, Lindsay
  • Ward, Marvin
  • Wheat, Chris W.
  • Farrell, Diana

Abstract

We document a number of striking features about the initial impact of the pandemic on local commerce across 16 US cities. There are two novel contributions from this analysis: exploration of neighborhood-level effects and shifts between offline and online purchasing channels. In our analysis we use approximately 450 million credit card transactions per month from a rolling sample of 11 million anonymized customers between October 2019 and March 2020. Across the 16 cities we profile, consumers decreased spend on the set of goods and services we define as “local commerce” by 12.8% between March 2019 and March 2020. Growth in all 16 cities was negative. Consumers shifted a substantial share of local commerce spend online, such that year-over-year growth in online spend was small, but positive, at 1.5%. With respect to grocery and pharmacy purchases, online spend grew at least three times as fast as offline spend. Overall spend declines were uniform across neighborhoods of differing median household income, though lower-income neighborhoods experienced the highest proportion of extreme negative declines. We also find evidence that many low-income neighborhoods are increasing spend on online grocery slower than others, but increasing their use of online restaurants the fastest. Consumers in low-income neighborhoods also tend to live farther from the grocery stores at which they shop. Compared to their counterparts in higher-income neighborhoods, consumers in low-income neighborhoods have not been more likely to shop at grocery stores closer to where they live since the onset of the pandemic.

Suggested Citation

  • Relihan, Lindsay & Ward, Marvin & Wheat, Chris W. & Farrell, Diana, 2020. "The early impact of COVID-19 on local commerce: changes in spend across neighborhoods and online," LSE Research Online Documents on Economics 105060, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:105060
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    File URL: http://eprints.lse.ac.uk/105060/
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    References listed on IDEAS

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    1. Asger Lau Andersen & Emil Toft Hansen & Niels Johannesen & Adam Sheridan, 2022. "Consumer responses to the COVID‐19 crisis: evidence from bank account transaction data," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(4), pages 905-929, October.
    2. 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.
    3. Diane Alexander & Ezra Karger, 2023. "Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior," The Review of Economics and Statistics, MIT Press, vol. 105(4), pages 1017-1027, July.
    4. Scott R Baker & Robert A Farrokhnia & Steffen Meyer & Michaela Pagel & Constantine Yannelis & Jeffrey Pontiff, 0. "How Does Household Spending Respond to an Epidemic? Consumption during the 2020 COVID-19 Pandemic," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 834-862.
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    Cited by:

    1. Max Nathan & Henry Overman, 2020. "Will coronavirus cause a big city exodus?," Environment and Planning B, , vol. 47(9), pages 1537-1542, November.
    2. Barbara Baarsma & Jesse Groenewegen, 2021. "COVID-19 and the Demand for Online Grocery Shopping: Empirical Evidence from the Netherlands," De Economist, Springer, vol. 169(4), pages 407-421, November.
    3. Nicolas Gonzalez-Pampillon & Gonzalo Nunez-Chaim & Henry G. Overman, 2022. "The economic impacts of the UK's eat out to help out scheme," CEP Discussion Papers dp1865, Centre for Economic Performance, LSE.
    4. Nicolás González-Pampillón & Gonzalo Nunez-Chaim & Katharina Ziegler, 2021. "Recovering from the first Covid-19 lockdown: Economic impacts of the UK's Eat Out to Help Out scheme," CEP Covid-19 Analyses cepcovid-19-018, Centre for Economic Performance, LSE.
    5. Hakan Yilmazkuday, 2021. "Changes in Consumption in the Early COVID-19 Era: Zip-Code Level Evidence from the U.S," JRFM, MDPI, vol. 14(10), pages 1-10, October.
    6. XQiumeng Li & Weipan Xu, 2022. "The impact of COVID-19 on bike-sharing travel pattern and flow structure: evidence from Wuhan [Exploring bike-sharing travel patterns and trip purposes using smart card data and online point of int," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 15(3), pages 477-494.

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    More about this item

    Keywords

    coronavirus; Covid-19;

    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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