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Identifying Consumer-Welfare Changes when Online Search Platforms Change Their List of Search Results

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  • Ryan Martin

Abstract

Online shopping is often guided by search platforms. Consumers type keywords into query boxes, and search platforms deliver a list of products. Consumers' attention is limited, and exhaustive searches are often impractical. Thus, the order in which products appear in search results affects the products consumers discover and ultimately purchase. In this setting, I study the identification of consumer-welfare changes in response to exogenous changes in search-result lists. I focus on the case of consumers engaging in costly searches for a single, indivisible (discrete) product among a collection of substitutes. I show that exact consumerwelfare changes—that is, compensating variation and equivalent variation—can be calculated with the use of straightforward integrals of the aggregate demand. I apply my results to shopping data provided by an online travel agency (OTA). I estimate that when the OTA changes search results from random to its proprietary listing structure, welfare improves by an average of $8.84 per user. I estimate an average welfare loss of $20.51 per user when the OTA removes the top five products from all of its search-result lists.

Suggested Citation

  • Ryan Martin, 2020. "Identifying Consumer-Welfare Changes when Online Search Platforms Change Their List of Search Results," Staff Working Papers 20-5, Bank of Canada.
    • Handle: RePEc:bca:bocawp:20-5
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    References listed on IDEAS

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    1. 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.
    2. Michael Dinerstein & Liran Einav & Jonathan Levin & Neel Sundaresan, 2018. "Consumer Price Search and Platform Design in Internet Commerce," American Economic Review, American Economic Association, vol. 108(7), pages 1820-1859, July.
    3. Elisabeth Honka & Ali Hortaçsu & Maria Ana Vitorino, 2017. "Advertising, consumer awareness, and choice: evidence from the U.S. banking industry," RAND Journal of Economics, RAND Corporation, vol. 48(3), pages 611-646, August.
    4. Diewert, Erwin & FOX, Kevin J. Fox & SCHREYER, Paul, 2017. "The Digital Economy, New Products and Consumer Welfare," Microeconomics.ca working papers erwin_diewert-2017-12, Vancouver School of Economics, revised 14 Dec 2017.
    5. Brynjolfsson, Erik & Collis, Avinash & Diewert, W. Erwin & Eggers, Felix & Fox, Kevin J., 2019. "GDP-B: Accounting for the Value of New and Free Goods in the Digital Economy," OSF Preprints sptfu, Center for Open Science.
    6. Aviv Nevo, 2003. "New Products, Quality Changes, and Welfare Measures Computed from Estimated Demand Systems," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 266-275, May.
    7. Moraga-González, José Luis & Sándor, Zsolt & Wildenbeest, Matthijs R., 2017. "Nonsequential search equilibrium with search cost heterogeneity," International Journal of Industrial Organization, Elsevier, vol. 50(C), pages 392-414.
    8. Elisabeth Honka, 2014. "Quantifying search and switching costs in the US auto insurance industry," RAND Journal of Economics, RAND Corporation, vol. 45(4), pages 847-884, December.
    9. 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.
    10. 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.
    11. Martin Feldstein, 2017. "Underestimating the Real Growth of GDP, Personal Income, and Productivity," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 145-164, Spring.
    12. Diewert, W, Erwin & Feenstra, Robert, 2017. "Estimating the Benefits and Costs of New and Disappearing Products," Microeconomics.ca working papers tina_marandola-2017-12, Vancouver School of Economics, revised 19 Dec 2017.
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    More about this item

    Keywords

    Econometric and statistical methods; Market structure and pricing;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L40 - Industrial Organization - - Antitrust Issues and Policies - - - General

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