IDEAS home Printed from https://ideas.repec.org/a/eee/indorg/v70y2020ics0167718720300369.html
   My bibliography  Save this article

Metasearch and market concentration

Author

Listed:
  • Foucart, Renaud

Abstract

Competing intermediaries search on behalf of consumers among a large number of horizontally differentiated sellers. Consumers either pick the best deal offered by an intermediary, or compare the intermediaries. A higher number of intermediaries has the direct effect of decreasing their search effort. Hence, if an exogenous share of consumers do not compare, more competition hurts them. More competition however also increases the incentives for consumers to compare. A higher share of informed consumers in turn increases the search effort of intermediaries. If consumers are ex-ante identical and rationally choose whether to become informed, the total effect of a higher number of intermediaries is to make each of them (weakly) choosier. Moreover, it always decreases the price offered by sellers. Allowing intermediaries to bias their advice by making sponsored links prominent has a similar effect of making all consumers better off in expectation.

Suggested Citation

  • Foucart, Renaud, 2020. "Metasearch and market concentration," International Journal of Industrial Organization, Elsevier, vol. 70(C).
  • Handle: RePEc:eee:indorg:v:70:y:2020:i:c:s0167718720300369
    DOI: 10.1016/j.ijindorg.2020.102614
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167718720300369
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijindorg.2020.102614?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mark Bagnoli & Ted Bergstrom, 2006. "Log-concave probability and its applications," Studies in Economic Theory, in: Charalambos D. Aliprantis & Rosa L. Matzkin & Daniel L. McFadden & James C. Moore & Nicholas C. Yann (ed.), Rationality and Equilibrium, pages 217-241, Springer.
    2. Varian, Hal R, 1980. "A Model of Sales," American Economic Review, American Economic Association, vol. 70(4), pages 651-659, September.
    3. Heiko Karle & Martin Peitz & Markus Reisinger, 2020. "Segmentation versus Agglomeration: Competition between Platforms with Competitive Sellers," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2329-2374.
    4. Dan Kovenock & Michael R. Baye & Casper G. de Vries, 1996. "The all-pay auction with complete information (*)," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 8(2), pages 291-305.
    5. Kfir Eliaz & Ran Spiegler, 2011. "Consideration Sets and Competitive Marketing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(1), pages 235-262.
    6. Asher Wolinsky, 1986. "True Monopolistic Competition as a Result of Imperfect Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(3), pages 493-511.
    7. Simon P. Anderson & Regis Renault, 1999. "Pricing, Product Diversity, and Search Costs: A Bertrand-Chamberlin-Diamond Model," RAND Journal of Economics, The RAND Corporation, vol. 30(4), pages 719-735, Winter.
    8. Mark Armstrong, 2015. "Search and Ripoff Externalities," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 47(3), pages 273-302, November.
    9. Mark Armstrong & Jidong Zhou, 2011. "Paying for Prominence," Economic Journal, Royal Economic Society, vol. 121(556), pages 368-395, November.
    10. Tracy R. Lewis, 2012. "A theory of delegated search for the best alternative," RAND Journal of Economics, RAND Corporation, vol. 43(3), pages 391-416, September.
    11. Chen, Huaihou & Xie, Hongmei & Hu, Taizhong, 2009. "Log-concavity of generalized order statistics," Statistics & Probability Letters, Elsevier, vol. 79(3), pages 396-399, February.
    12. Ulbricht, Robert, 2016. "Optimal delegated search with adverse selection and moral hazard," Theoretical Economics, Econometric Society, vol. 11(1), January.
    13. Roman Inderst & Marco Ottaviani, 2012. "Financial Advice," Journal of Economic Literature, American Economic Association, vol. 50(2), pages 494-512, June.
    14. Mark Armstrong & John Vickers & Jidong Zhou, 2009. "Consumer Protection and the Incentive to Become Informed," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 399-410, 04-05.
    15. Burdett, Kenneth & Judd, Kenneth L, 1983. "Equilibrium Price Dispersion," Econometrica, Econometric Society, vol. 51(4), pages 955-969, July.
    16. Benjamin Edelman & Julian Wright, 2015. "Price Coherence and Excessive Intermediation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(3), pages 1283-1328.
    17. Inderst, Roman & Ottaviani, Marco, 2012. "How (not) to pay for advice: A framework for consumer financial protection," Journal of Financial Economics, Elsevier, vol. 105(2), pages 393-411.
    18. Kfir Eliaz & Ran Spiegler, 2011. "A Simple Model of Search Engine Pricing," Economic Journal, Royal Economic Society, vol. 121(556), pages 329-339, November.
    19. Caplin, Andrew & Nalebuff, Barry, 1991. "Aggregation and Imperfect Competition: On the Existence of Equilibrium," Econometrica, Econometric Society, vol. 59(1), pages 25-59, January.
    20. Greg Taylor, 2013. "Search Quality and Revenue Cannibalization by Competing Search Engines," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 22(3), pages 445-467, September.
    21. Burdett, Kenneth, 1996. "Truncated means and variances," Economics Letters, Elsevier, vol. 52(3), pages 263-267, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Michael Grubb, 2015. "Failing to Choose the Best Price: Theory, Evidence, and Policy," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 47(3), pages 303-340, November.
    2. Moraga-González, José L. & Sándor, Zsolt & Wildenbeest, Matthijs R., 2014. "Prices, Product Differentiation, And Heterogeneous Search Costs," IESE Research Papers D/1097, IESE Business School.
    3. Zhou, Jidong, 2020. "Improved Information in Search Markets," MPRA Paper 100509, University Library of Munich, Germany.
    4. Belleflamme,Paul & Peitz,Martin, 2015. "Industrial Organization," Cambridge Books, Cambridge University Press, number 9781107687899.
    5. Andrew Rhodes & Jidong Zhou, 2019. "Consumer Search and Retail Market Structure," Management Science, INFORMS, vol. 67(6), pages 2607-2623, June.
    6. Johannes Johnen & David Ronayne, 2021. "The only Dance in Town: Unique Equilibrium in a Generalized Model of Price Competition," Journal of Industrial Economics, Wiley Blackwell, vol. 69(3), pages 595-614, September.
    7. David Ronayne, 2021. "Price Comparison Websites," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(3), pages 1081-1110, August.
    8. Casner, Ben, 2020. "Seller curation in platforms," International Journal of Industrial Organization, Elsevier, vol. 72(C).
    9. Natalia Fabra & Juan-Pablo Montero, 2022. "Product Lines and Price Discrimination in Markets with Information Frictions," Management Science, INFORMS, vol. 68(2), pages 981-1001, February.
    10. Teh, Christopher & Wang, Chengsi & Watanabe, Makoto, 2024. "Strategic limitation of market accessibility: Search platform design and welfare," Journal of Economic Theory, Elsevier, vol. 216(C).
    11. Gamp, Tobias & Krähmer, Daniel, 2022. "Competition in Search Markets with Naive Consumers," Rationality and Competition Discussion Paper Series 364, CRC TRR 190 Rationality and Competition.
    12. Mark Armstrong, 2015. "Search and Ripoff Externalities," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 47(3), pages 273-302, November.
    13. Tobias Gamp & Daniel Kraehmer, 2018. "Deception and Competition in Search Markets," CRC TR 224 Discussion Paper Series crctr224_014_2018, University of Bonn and University of Mannheim, Germany.
    14. Chen, Yongmin & Zhang, Tianle, 2018. "Intermediaries and consumer search," International Journal of Industrial Organization, Elsevier, vol. 57(C), pages 255-277.
    15. Zemin (Zachary) Zhong, 2023. "Platform Search Design: The Roles of Precision and Price," Marketing Science, INFORMS, vol. 42(2), pages 293-313, March.
    16. Yuta KITTAKA & Ryo MIKAMI, 2020. "Consumer Search and Stock-out: A Laboratory Experiment," ISER Discussion Paper 1104, Institute of Social and Economic Research, Osaka University.
    17. Gamp, Tobias & Krähmer, Daniel, 2022. "Biased Beliefs in Search Markets," Rationality and Competition Discussion Paper Series 365, CRC TRR 190 Rationality and Competition.
    18. Ding, Yucheng & Zhang, Tianle, 2018. "Price-directed consumer search," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 106-135.
    19. Sviták, Jan & Tichem, Jan & Haasbeek, Stefan, 2021. "Price effects of search advertising restrictions," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    20. Huanxing Yang, 2013. "Targeted search and the long tail effect," RAND Journal of Economics, RAND Corporation, vol. 44(4), pages 733-756, December.

    More about this item

    Keywords

    Search; Advice; Competition;
    All these keywords.

    JEL classification:

    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:indorg:v:70:y:2020:i:c:s0167718720300369. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505551 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.