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Match Quality, Search, and the Internet Market for Used Books

Author

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  • Glenn Ellison
  • Sara Fisher Ellison

Abstract

This paper examines the effect of the Internet on markets in which match-quality is important, including an analysis of the market for used books. A model in which sellers of unusual objects wait for high-value buyers to arrive brings out match quality and competition effects through which improved search technologies may increase both price dispersion and social welfare. A reduced-form empirical analysis finds support for a number of more nuanced predictions of the model in the context of the used book market, exploiting both cross-sectional differences across books and time-series differences in the wake of Amazon's acquisition and incorporation of a large used book marketplace. The paper develops a framework for structural estimation of a model based on the theory. The estimates suggest that the shift to Internet sales substantially increased both seller profits and consumer surplus.

Suggested Citation

  • Glenn Ellison & Sara Fisher Ellison, 2018. "Match Quality, Search, and the Internet Market for Used Books," NBER Working Papers 24197, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:24197
    Note: IO
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    Cited by:

    1. Emilio Calvano & Giacomo Calzolari & Vincenzo Denicolò & Sergio Pastorello, 2019. "Algorithmic Pricing What Implications for Competition Policy?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(1), pages 155-171, August.
    2. Paolo Martellini & Guido Menzio, 2020. "Declining Search Frictions, Unemployment, and Growth," Journal of Political Economy, University of Chicago Press, vol. 128(12), pages 4387-4437.
    3. Hauschultz, Frederik Plum & Munk-Nielsen, Anders, 2020. "Markups on Drop-Downs: Prominence in Pharmaceutical Markets∗," MPRA Paper 104582, University Library of Munich, Germany.
    4. Carroni, Elias & Ferrari, Luca & Righi, Simone, 2019. "The price of discovering your needs online," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 317-330.
    5. Michael R. Baye & David E. M. Sappington, 2020. "Revealing transactions data to third parties: Implications of privacy regimes for welfare in online markets," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 29(2), pages 260-275, April.
    6. Calvano, Emilio & Polo, Michele, 2021. "Market power, competition and innovation in digital markets: A survey," Information Economics and Policy, Elsevier, vol. 54(C).
    7. Tang, Maogang & Liu, Yinlin & Hu, Fengxia & Wu, Baijun, 2023. "Effect of digital transformation on enterprises' green innovation: Empirical evidence from listed companies in China," Energy Economics, Elsevier, vol. 128(C).
    8. Xuan Teng, 2022. "Self-Preferencing, Quality Provision, and Welfare in Mobile Application Markets," CESifo Working Paper Series 10042, CESifo.
    9. Christopher Helm & Tim A. Herberger & Marcel Tyrell, 2021. "Demand dynamics across secondary German Book markets: an information aggregation and synthetization approach," Information Systems and e-Business Management, Springer, vol. 19(2), pages 567-596, June.
    10. Cazaubiel, Arthur & Cure, Morgane & Johansen, Bjørn Olav & Vergé, Thibaud, 2020. "Substitution between online distribution channels: Evidence from the Oslo hotel market," International Journal of Industrial Organization, Elsevier, vol. 69(C).

    More about this item

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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