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

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Listed:
  • Diana Farrell
  • Lindsay E. Relihan
  • Marvin W. Ward Jr.
  • Chris W. Wheat

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 the16 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

  • Diana Farrell & Lindsay E. Relihan & Marvin W. Ward Jr. & Chris W. Wheat, 2020. "The early impact of Covid-19 on local commerce: changes in spend across neighborhoods and online," CEP Occasional Papers 50, Centre for Economic Performance, LSE.
  • Handle: RePEc:cep:cepops:50
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    References listed on IDEAS

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    1. 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.
    2. Hansen, Stephen & Carvalho, Vasco & García, Juan Ramón & Ortiz, Alvaro & Rodrigo, Tomasa & Rodríguez Mora, José V & Ruiz, Pep, 2020. "Tracking the COVID-19 Crisis with High-Resolution Transaction Data," CEPR Discussion Papers 14642, C.E.P.R. Discussion Papers.
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    Cited by:

    1. 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.
    2. Gonzalez-Pampillon, Nicolas & Nunez-Chaim, Gonzalo & Overman, Henry G., 2024. "The economic impacts of the UK's eat out to help out scheme," Journal of Urban Economics, Elsevier, vol. 143(C).
    3. 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.
    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. Max Nathan & Henry Overman, 2020. "Will coronavirus cause a big city exodus?," Environment and Planning B, , vol. 47(9), pages 1537-1542, November.
    6. Lindsay E. Relihan, 2022. "Is online retail killing coffee shops? Estimating the winners and losers of online retail using customer transaction microdata," CEP Discussion Papers dp1836, Centre for Economic Performance, LSE.
    7. Mónika Harangi-Rákos & Christa Pfau & Éva Bácsné Bába & Bence András Bács & Péter Miklós Kőmíves, 2022. "Lockdowns and Physical Activities: Sports in the Time of COVID," IJERPH, MDPI, vol. 19(4), pages 1-22, February.
    8. 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.
    9. Matias Busso & Maria P. Gonzalez & Carlos Scartascini, 2022. "On the demand for telemedicine: Evidence from the COVID‐19 pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 1491-1505, July.
    10. Relihan, Lindsay, 2022. "Is online retail killing coffee shops? Estimating the winners and losers of online retail using customer transaction microdata," LSE Research Online Documents on Economics 117805, London School of Economics and Political Science, LSE Library.
    11. Chun, Hyunbae & Kwon, Eunjee & Yang, Dongyun, 2024. "The rise of e-commerce and generational consumption inequality: Evidence from COVID-19 in South Korea," Regional Science and Urban Economics, Elsevier, vol. 104(C).
    12. Mandy Gardner & Don J Webber & Glenn Parry & Peter Bradley, 2021. "COVID-19: How community businesses in England struggled to respond to their communities’ needs," Local Economy, London South Bank University, vol. 36(6), pages 524-540, September.

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