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Is online retail killing coffee shops? Estimating the winners and losers of online retail using customer transaction microdata

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  • Relihan, Lindsay

Abstract

Is online retail a complement or substitute to local offline economies? This paper provides the first evidence that consumers use time saved from online retail to increase their trips for time-intensive services like coffee shops. I use new, detailed data on the daily transactions of millions of anonymized customers. I then estimate a discrete choice model of consumer trip choice, which embeds time use mechanisms and accounts for correlations in trip utility shocks. I show that the model matches key features of observed behaviour that are missed by more standard models, such as the disproportionate increase in trips to nearby coffee shops when consumers switch to online groceries. Model counterfactuals are used to forecast changes in future trip demand and outline strategies, which offline retailers can use to compete against online retail. For consumers, I find that the welfare gains from online grocery platforms go disproportionately to high-income consumers.

Suggested Citation

  • 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.
  • Handle: RePEc:ehl:lserod:117805
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    File URL: http://eprints.lse.ac.uk/117805/
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    References listed on IDEAS

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    1. 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.
    2. Thomas W. Quan & Kevin R. Williams, 2018. "Product variety, across‐market demand heterogeneity, and the value of online retail," RAND Journal of Economics, RAND Corporation, vol. 49(4), pages 877-913, December.
    3. Erik Brynjolfsson & Yu (Jeffrey) Hu & Mohammad S. Rahman, 2009. "Battle of the Retail Channels: How Product Selection and Geography Drive Cross-Channel Competition," Management Science, INFORMS, vol. 55(11), pages 1755-1765, November.
    4. Sinai, Todd & Waldfogel, Joel, 2004. "Geography and the Internet: is the Internet a substitute or a complement for cities?," Journal of Urban Economics, Elsevier, vol. 56(1), pages 1-24, July.
    5. Austan Goolsbee, 2000. "In a World Without Borders: The Impact of Taxes on Internet Commerce," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 561-576.
    6. Matthew Gentzkow, 2007. "Valuing New Goods in a Model with Complementarity: Online Newspapers," American Economic Review, American Economic Association, vol. 97(3), pages 713-744, June.
    7. Jean-Francois Houde, 2012. "Spatial Differentiation and Vertical Mergers in Retail Markets for Gasoline," American Economic Review, American Economic Association, vol. 102(5), pages 2147-2182, August.
    8. Fan, Jingting & Tang, Lixin & Zhu, Weiming & Zou, Ben, 2018. "The Alibaba effect: Spatial consumption inequality and the welfare gains from e-commerce," Journal of International Economics, Elsevier, vol. 114(C), pages 203-220.
    9. Andrea Pozzi, 2012. "Shopping Cost and Brand Exploration in Online Grocery," American Economic Journal: Microeconomics, American Economic Association, vol. 4(3), pages 96-120, August.
    10. Michael Cohen & Marc Rysman, 2012. "Payment choice with consumer panel data," Working Papers 13, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    11. Daniel Serra & Rosa Colomé, 2001. "articles: Consumer choice and optimal locations models: Formulations and heuristics," Papers in Regional Science, Springer;Regional Science Association International, vol. 80(4), pages 439-464.
    12. Koppelman, Frank S. & Wen, Chieh-Hua, 2000. "The paired combinatorial logit model: properties, estimation and application," Transportation Research Part B: Methodological, Elsevier, vol. 34(2), pages 75-89, February.
    13. Mark Aguiar & Erik Hurst, 2007. "Life-Cycle Prices and Production," American Economic Review, American Economic Association, vol. 97(5), pages 1533-1559, December.
    14. Thomas W. Quan & Kevin R. Williams, 2017. "Product Variety, Across-Market Demand Heterogeneity, and the Value of Online Retail," Cowles Foundation Discussion Papers 2054R3, Cowles Foundation for Research in Economics, Yale University, revised Jun 2018.
    15. Glenn Ellison & Sara Fisher Ellison, 2009. "Tax Sensitivity and Home State Preferences in Internet Purchasing," American Economic Journal: Economic Policy, American Economic Association, vol. 1(2), pages 53-71, August.
    16. J. Yannis Bakos, 1997. "Reducing Buyer Search Costs: Implications for Electronic Marketplaces," Management Science, INFORMS, vol. 43(12), pages 1676-1692, December.
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    Cited by:

    1. Su, Yichen, 2022. "Measuring the Value of Urban Consumption Amenities: A Time-Use Approach," Journal of Urban Economics, Elsevier, vol. 132(C).
    2. Chung, Jamie, 2023. "The spillover effect of E-commerce on local retail real estate markets," Regional Science and Urban Economics, Elsevier, vol. 101(C).

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    More about this item

    Keywords

    online; retail; time use; tips;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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