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Assessing the Gains from E-Commerce

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  • Paul Dolfen
  • Liran Einav
  • Peter J. Klenow
  • Benjamin Klopack
  • Jonathan D. Levin
  • Laurence Levin
  • Wayne Best

Abstract

E-Commerce represents a rapidly growing share of consumer spending in the U.S. We use transactions-level data on credit and debit cards from Visa, Inc. between 2007 and 2017 to quantify the resulting consumer surplus. We estimate that E-Commerce spending reached 8% of consumption by 2017, yielding consumers the equivalent of a 1% permanent boost to their consumption, or over $1,000 per household. While some of the gains arose from saving travel costs of buying from local merchants, most of the gains stemmed from substituting to online merchants. Higher income cardholders gained more, as did consumers in more densely populated counties.

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  • Paul Dolfen & Liran Einav & Peter J. Klenow & Benjamin Klopack & Jonathan D. Levin & Laurence Levin & Wayne Best, 2019. "Assessing the Gains from E-Commerce," NBER Working Papers 25610, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:25610
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    Cited by:

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    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. Chung, Jamie, 2023. "The spillover effect of E-commerce on local retail real estate markets," Regional Science and Urban Economics, Elsevier, vol. 101(C).
    4. Zhou Jiang & Maoxia Zeng & Mingming Shi, 2023. "E‐commerce and Consumption Inequality in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(5), pages 61-86, September.
    5. Victor Couture & Cecile Gaubert & Jessie Handbury & Erik Hurst, 2019. "Income Growth and the Distributional Effects of Urban Spatial Sorting," NBER Working Papers 26142, National Bureau of Economic Research, Inc.
    6. Leonard I. Nakamura, 2020. "Evidence of Accelerating Mismeasurement of Growth and Inflation in the U.S. in the 21st Century," Working Papers 20-41, Federal Reserve Bank of Philadelphia.
    7. David Bounie & Youssouf Camara & John W. Galbraith, 2021. "Consumer Mobility, Online and On-site Commerce and the Geographic Concentration of Economic Activity: Evidence from 20 Billion Transactions," CIRANO Working Papers 2021s-17, CIRANO.
    8. Peng, Cong, 2019. "Does e-commerce reduce traffic congestion? Evidence from Alibaba Single Day shopping event," LSE Research Online Documents on Economics 103411, London School of Economics and Political Science, LSE Library.
    9. Santitarn Sathirathai & Voraprapa Nakavachara, 2019. "Connecting Locals to Locals: Market Discovery through E-Commerce," PIER Discussion Papers 118, Puey Ungphakorn Institute for Economic Research.
    10. Sunita Dhote & Chandan Vichoray & Rupesh Pais & S. Baskar & P. Mohamed Shakeel, 2020. "Hybrid geometric sampling and AdaBoost based deep learning approach for data imbalance in E-commerce," Electronic Commerce Research, Springer, vol. 20(2), pages 259-274, June.
    11. Cong Peng, 2019. "Does e-commerce reduce traffic congestion? Evidence from Alibaba Single Day shopping event," CEP Discussion Papers dp1646, Centre for Economic Performance, LSE.
    12. Ahmad, Saad & Riker, David, 2020. "Versatility and Specificity of PE Models for Trade Policy Analysis," Conference papers 333160, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    13. Jeremie Banet & Lucie Lebeau, 2022. "Central Bank Digital Currency: Financial Inclusion vs. Disintermediation," Working Papers 2218, Federal Reserve Bank of Dallas.
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    17. Mr. Tidiane Kinda, 2019. "E-commerce as a Potential New Engine for Growth in Asia," IMF Working Papers 2019/135, International Monetary Fund.

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    More about this item

    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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