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Product Differentiation and Equilibrium Price with Partial Product Search

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Abstract

According to earlier economics literature, an increase in product differentiation increases firms' prices. Anderson and Renault (1999), however, show that when search cost is needed to evaluate any product, a U-shaped relationship exists between firms' equilibrium prices and product differentiation. Such a relationship emerges because an increase in product differentiation brings in a positive direct effect on price through increasing market power and a negative indirect effect through encouraging search across firms. In this paper, we revisit this important issue with the recent development of partial-depth search, which allows consumers to evaluate a subset of product attributes. We use a simultaneous search model, and our results show that a U-shaped relationship still emerges in equilibrium when search depth is fixed and dictated by the search environment but vanishes when depth is chosen by consumers. Specifically, in the latter eventuality with endogenous depth, an increase in product differentiation creates a second indirect effect which is positive on price through a greater search depth: a higher differentiation increases the expected search benefit and thus induces consumers to search products at a greater depth, which allows them to better differentiate products and thus softens competition. This new positive indirect effect combined with the conventional positive direct effect leads firms' equilibrium prices to increase with product differentiation.

Suggested Citation

  • Lin Liu & X. Henry Wang, 2021. "Product Differentiation and Equilibrium Price with Partial Product Search," Working Papers 2107, Department of Economics, University of Missouri.
  • Handle: RePEc:umc:wpaper:2107
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    1. Jidong Zhou, 2020. "Improved Information in Search Markets," Cowles Foundation Discussion Papers 2264R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2022.
    2. Jeffrey M. Perloff & Steven C. Salop, 1985. "Equilibrium with Product Differentiation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 52(1), pages 107-120.
    3. Fernando Branco & Monic Sun & J. Miguel Villas-Boas, 2012. "Optimal Search for Product Information," Management Science, INFORMS, vol. 58(11), pages 2037-2056, November.
    4. Lin Liu & Anthony Dukes, 2016. "Consumer Search with Limited Product Evaluation," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 25(1), pages 32-55, March.
    5. Heski Bar‐Isaac & Guillermo Caruana & Vicente Cuñat, 2012. "Information Gathering Externalities for a Multi‐Attribute Good," Journal of Industrial Economics, Wiley Blackwell, vol. 60(1), pages 162-185, March.
    6. Cardell, N. Scott, 1997. "Variance Components Structures for the Extreme-Value and Logistic Distributions with Application to Models of Heterogeneity," Econometric Theory, Cambridge University Press, vol. 13(2), pages 185-213, April.
    7. Anthony Dukes & Lin Liu, 2016. "Online Shopping Intermediaries: The Strategic Design of Search Environments," Management Science, INFORMS, vol. 62(4), pages 1064-1077, April.
    8. Ke, T. Tony & Villas-Boas, J. Miguel, 2019. "Optimal learning before choice," Journal of Economic Theory, Elsevier, vol. 180(C), pages 383-437.
    9. 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.
    10. Olszewski, Wojciech & Wolinsky, Asher, 2016. "Search for an object with two attributes," Journal of Economic Theory, Elsevier, vol. 161(C), pages 145-160.
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    Cited by:

    1. Liu, Lin & Wang, X. Henry, 2023. "Partial sequential search and product differentiation," Economics Letters, Elsevier, vol. 225(C).

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    More about this item

    Keywords

    Search; Partial-search depth; Price; Product differentiation; 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

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