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Competitive Information Disclosure with Heterogeneous Consumer Search

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  • Dongjin Hwang
  • Ilwoo Hwang

Abstract

We study a model of competitive information design in an oligopoly search market with heterogeneous consumer search costs. A unique class of equilibria -- upper-censorship equilibria -- emerges under intense competition. In equilibrium, firms balance competitive pressure with local monopoly power granted by search frictions. Notably, firms disclose only partial information even as the number of firms approaches infinity. The maximal informativeness of equilibrium decreases under first-order shifts in the search cost distribution, but varies non-monotonically under mean-preserving spreads. The model converges to the full-disclosure benchmark as search frictions vanish, and to the no-disclosure benchmark as search costs become homogeneous.

Suggested Citation

  • Dongjin Hwang & Ilwoo Hwang, 2025. "Competitive Information Disclosure with Heterogeneous Consumer Search," Papers 2504.04659, arXiv.org.
  • Handle: RePEc:arx:papers:2504.04659
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    References listed on IDEAS

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    1. Mustafa Dogan & Ju Hu, 2022. "Consumer search and optimal information," RAND Journal of Economics, RAND Corporation, vol. 53(2), pages 386-403, June.
    2. Jason Allen & Robert Clark & Jean-Fran?ois Houde, 2014. "The Effect of Mergers in Search Markets: Evidence from the Canadian Mortgage Industry," American Economic Review, American Economic Association, vol. 104(10), pages 3365-3396, October.
    3. Au, Pak Hung & Kawai, Keiichi, 2020. "Competitive information disclosure by multiple senders," Games and Economic Behavior, Elsevier, vol. 119(C), pages 56-78.
    4. Weitzman, Martin L, 1979. "Optimal Search for the Best Alternative," Econometrica, Econometric Society, vol. 47(3), pages 641-654, May.
    5. Jason Allen & Robert Clark & Jean-François Houde, 2019. "Search Frictions and Market Power in Negotiated-Price Markets," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1550-1598.
    6. Ali Hortaçsu & Chad Syverson, 2004. "Product Differentiation, Search Costs, and Competition in the Mutual Fund Industry: A Case Study of S&P 500 Index Funds," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(2), pages 403-456.
    7. Diamond, Peter A., 1971. "A model of price adjustment," Journal of Economic Theory, Elsevier, vol. 3(2), pages 156-168, June.
    8. José Luis Moraga-González & Zsolt Sándor & Matthijs R. Wildenbeest, 2017. "Prices and heterogeneous search costs," RAND Journal of Economics, RAND Corporation, vol. 48(1), pages 125-146, March.
    9. Maxim Ivanov, 2013. "Information revelation in competitive markets," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 52(1), pages 337-365, January.
    10. Piotr Dworczak & Giorgio Martini, 2019. "The Simple Economics of Optimal Persuasion," Journal of Political Economy, University of Chicago Press, vol. 127(5), pages 1993-2048.
    11. Arieli, Itai & Babichenko, Yakov & Smorodinsky, Rann & Yamashita, Takuro, 2023. "Optimal persuasion via bi-pooling," Theoretical Economics, Econometric Society, vol. 18(1), January.
    12. J. J. McCall, 1970. "Economics of Information and Job Search," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(1), pages 113-126.
    13. 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.
    14. Tobias Salz, 2022. "Intermediation and Competition in Search Markets: An Empirical Case Study," Journal of Political Economy, University of Chicago Press, vol. 130(2), pages 310-345.
    15. Michael Choi & Kyungmin Kim & Marilyn Pease, 2019. "Optimal Information Design for Search Goods," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 550-556, May.
    16. Pak Hung Au & Mark Whitmeyer, 2024. "Attraction Via Prices and Information," Papers 2402.11754, arXiv.org.
    17. De los Santos, Babur, 2018. "Consumer search on the Internet," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 66-105.
    18. Kolotilin, Anton & Mylovanov, Timofiy & Zapechelnyuk, Andriy, 2022. "Censorship as optimal persuasion," Theoretical Economics, Econometric Society, vol. 17(2), May.
    19. Lyu, Chen, 2023. "Information design for selling search goods and the effect of competition," Journal of Economic Theory, Elsevier, vol. 213(C).
    20. Roger B. Myerson, 1981. "Optimal Auction Design," Mathematics of Operations Research, INFORMS, vol. 6(1), pages 58-73, February.
    21. Kohn, Meir G. & Shavell, Steven, 1974. "The theory of search," Journal of Economic Theory, Elsevier, vol. 9(2), pages 93-123, October.
    22. Simon Board & Jay Lu, 2018. "Competitive Information Disclosure in Search Markets," Journal of Political Economy, University of Chicago Press, vol. 126(5), pages 1965-2010.
    23. He, Wei & Li, Jiangtao, 2023. "Competitive information disclosure in random search markets," Games and Economic Behavior, Elsevier, vol. 140(C), pages 132-153.
    24. Sun, Yeneng, 2006. "The exact law of large numbers via Fubini extension and characterization of insurable risks," Journal of Economic Theory, Elsevier, vol. 126(1), pages 31-69, January.
    25. Stahl, Dale O, II, 1989. "Oligopolistic Pricing with Sequential Consumer Search," American Economic Review, American Economic Association, vol. 79(4), pages 700-712, September.
    26. Pak Hung Au & Mark Whitmeyer, 2023. "Attraction versus Persuasion: Information Provision in Search Markets," Journal of Political Economy, University of Chicago Press, vol. 131(1), pages 202-245.
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