IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/9374.html
   My bibliography  Save this paper

Search Costs, Demand-Side Economies and the Incentives to Merge under Bertrand Competition

Author

Listed:
  • Moraga-González, José-Luis
  • Petrikaite, Vaiva

Abstract

We study the incentives to merge in a Bertrand competition model where firms sell differentiated products and consumers search sequentially for satisfactory deals. In the pre-merger symmetric equilibrium, consumers visit firmsrandomly. However, after a merger, because insiders raise their prices more than the outsiders, consumers start searching for good deals at the non-merging stores, and only when they do not find a satisfactory product there they visit the merging firms. As search costs go up, consumer traffic from the non-merging firms to the merged ones decreases and eventually mergers become unprofitable. This new merger paradox can be overcome if the merged entity chooses to stock each of its stores with all the products of the constituent firms, which generates sizable search economies. We show that such demand-side economies can confer the merging firms a prominent position in the marketplace, in which case their price may even be lower than the price of the non-merging firms. In that situation, consumers start searching for a satisfactory good at the merged entity and the firms outside the merger lose out. When search economies are sufficiently large, a merger is beneficial for consumers too, and overall welfare increases.

Suggested Citation

  • Moraga-González, José-Luis & Petrikaite, Vaiva, 2013. "Search Costs, Demand-Side Economies and the Incentives to Merge under Bertrand Competition," CEPR Discussion Papers 9374, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:9374
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP9374
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

    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. Farrell, Joseph & Shapiro, Carl, 1990. "Horizontal Mergers: An Equilibrium Analysis," American Economic Review, American Economic Association, vol. 80(1), pages 107-126, March.
    2. Jeffrey H. Fischer & Joseph E. Harrington Jr., 1996. "Product Variety and Firm Agglomeration," RAND Journal of Economics, The RAND Corporation, vol. 27(2), pages 281-309, Summer.
    3. Norbert Schulz & Konrad Stahl, 1996. "Do Consumers Search for the Highest Price? Oligopoly Equilibrium and Monopoly Optimum in Differentiated Products Markets," RAND Journal of Economics, The RAND Corporation, vol. 27(3), pages 542-562, Autumn.
    4. Mark Armstrong & John Vickers & Jidong Zhou, 2009. "Prominence and consumer search," RAND Journal of Economics, RAND Corporation, vol. 40(2), pages 209-233, June.
    5. Shelegia, Sandro, 2012. "Multiproduct pricing in oligopoly," International Journal of Industrial Organization, Elsevier, vol. 30(2), pages 231-242.
    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. Marco A. Haan & José L. Moraga‐González, 2011. "Advertising for Attention in a Consumer Search Model," Economic Journal, Royal Economic Society, vol. 121(552), pages 552-579, May.
    8. 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.
    9. Mark Armstrong & Jidong Zhou, 2011. "Paying for Prominence," Economic Journal, Royal Economic Society, vol. 121(556), pages 368-395, November.
    10. Zhou, Jidong, 2011. "Ordered search in differentiated markets," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 253-262, March.
    11. Perry, Martin K & Porter, Robert H, 1985. "Oligopoly and the Incentive for Horizontal Merger," American Economic Review, American Economic Association, vol. 75(1), pages 219-227, March.
    12. Klemperer, Paul, 1992. "Equilibrium Product Lines: Competing Head-to-Head May Be Less Competitive," American Economic Review, American Economic Association, vol. 82(4), pages 740-755, September.
    13. Weitzman, Martin L, 1979. "Optimal Search for the Best Alternative," Econometrica, Econometric Society, vol. 47(3), pages 641-654, May.
    14. Stahl, Konrad, 1982. "Differentiated Products, Consumer Search, and Locational Oligopoly," Journal of Industrial Economics, Wiley Blackwell, vol. 31(1-2), pages 97-113, September.
    15. Diamond, Peter A., 1971. "A model of price adjustment," Journal of Economic Theory, Elsevier, vol. 3(2), pages 156-168, June.
    16. Maria Arbatskaya, 2007. "Ordered search," RAND Journal of Economics, RAND Corporation, vol. 38(1), pages 119-126, March.
    17. McAfee, R Preston & Williams, Michael A, 1992. "Horizontal Mergers and Antitrust Policy," Journal of Industrial Economics, Wiley Blackwell, vol. 40(2), pages 181-187, June.
    18. Asher Wolinsky, 2005. "Procurement via Sequential Search," Journal of Political Economy, University of Chicago Press, vol. 113(4), pages 785-810, August.
    19. Kohn, Meir G. & Shavell, Steven, 1974. "The theory of search," Journal of Economic Theory, Elsevier, vol. 9(2), pages 93-123, October.
    20. Raymond Deneckere & Carl Davidson, 1985. "Incentives to Form Coalitions with Bertrand Competition," RAND Journal of Economics, The RAND Corporation, vol. 16(4), pages 473-486, Winter.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mark Armstrong, 2017. "Ordered Consumer Search," Journal of the European Economic Association, European Economic Association, vol. 15(5), pages 989-1024.
    2. Bertin Martens & Luis Aguiar & Estrella Gomez Herrera & Frank Muller, 2018. "The digital transformation of news media and the rise of disinformation and fake news," JRC Working Papers on Digital Economy 2018-02, Joint Research Centre.
    3. Brett Hollenbeck & Renato Zaterka Giroldo, 2022. "Winning Big: Scale and Success in Retail Entrepreneurship," Marketing Science, INFORMS, vol. 41(2), pages 271-293, March.
    4. Grégory Jolivet & Hélène Turon, 2019. "Consumer Search Costs and Preferences on the Internet," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(3), pages 1258-1300.
    5. Andrew Rhodes & Jidong Zhou, 2019. "Consumer Search and Retail Market Structure," Management Science, INFORMS, vol. 67(6), pages 2607-2623, June.
    6. Parakhonyak, Alexei & Titova, Maria, 2018. "Shopping malls, platforms and consumer search," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 183-213.
    7. 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.
    8. Marcel Preuss, 2023. "Search, learning, and tracking," RAND Journal of Economics, RAND Corporation, vol. 54(1), pages 54-82, March.
    9. Amedeo Piolatto, 2015. "Online booking and information: competition and welfare consequences of review aggregators," Working Papers 2015/11, Institut d'Economia de Barcelona (IEB).
    10. Hong Zhu & Qi Zhu, 2016. "Mergers and acquisitions by Chinese firms: A review and comparison with other mergers and acquisitions research in the leading journals," Asia Pacific Journal of Management, Springer, vol. 33(4), pages 1107-1149, December.
    11. Hui Song, 2017. "Ordered search with asymmetric product design," Journal of Economics, Springer, vol. 121(2), pages 105-132, June.
    12. Moraga-González, José-Luis & Sun, Yajie, 2022. "Product Quality and Consumer Search," CEPR Discussion Papers 14669, C.E.P.R. Discussion Papers.
    13. Estrella Gomez-Herrera & Bertin Martens & Frank Muller-Langer, 2017. "Trade, competition and welfare in global online labour markets: A "gig economy" case study," JRC Working Papers on Digital Economy 2017-05, Joint Research Centre.

    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. Mark Armstrong, 2017. "Ordered Consumer Search," Journal of the European Economic Association, European Economic Association, vol. 15(5), pages 989-1024.
    2. Parakhonyak, Alexei & Titova, Maria, 2018. "Shopping malls, platforms and consumer search," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 183-213.
    3. Jose Luis Moraga-Gonzalez & Vaiva Petrikaite, 2011. "Consumer Search Costs and the Incentives to merge under Bertrand Competition," Tinbergen Institute Discussion Papers 11-099/1, Tinbergen Institute.
    4. Haan, Marco A. & Moraga-González, José L. & Petrikaitė, Vaiva, 2018. "A model of directed consumer search," International Journal of Industrial Organization, Elsevier, vol. 61(C), pages 223-255.
    5. 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.
    6. Zhou, Jidong, 2011. "Ordered search in differentiated markets," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 253-262, March.
    7. Raluca M. Ursu & Daria Dzyabura, 2020. "Retailers’ product location problem with consumer search," Quantitative Marketing and Economics (QME), Springer, vol. 18(2), pages 125-154, June.
    8. Astorne-Figari, Carmen & Yankelevich, Aleksandr, 2014. "Consumer search with asymmetric price sampling," Economics Letters, Elsevier, vol. 122(2), pages 331-333.
    9. Konishi, Hideo, 2005. "Concentration of competing retail stores," Journal of Urban Economics, Elsevier, vol. 58(3), pages 488-512, November.
    10. Martin Obradovits & Philipp Plaickner, 2023. "Price-Directed Search, Product Differentiation and Competition," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 63(3), pages 317-348, November.
    11. Chen, Yongmin & Zhang, Tianle, 2018. "Intermediaries and consumer search," International Journal of Industrial Organization, Elsevier, vol. 57(C), pages 255-277.
    12. Haan, Marten & Moraga Gonz, 2015. "Price and match-value advertising with directed consumer search," Research Report 15012-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    13. Andrew Rhodes & Jidong Zhou, 2019. "Consumer Search and Retail Market Structure," Management Science, INFORMS, vol. 67(6), pages 2607-2623, June.
    14. Dmitry Lubensky, 2017. "A model of recommended retail prices," RAND Journal of Economics, RAND Corporation, vol. 48(2), pages 358-386, May.
    15. Ding, Yucheng & Zhang, Tianle, 2018. "Price-directed consumer search," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 106-135.
    16. Yongmin Chen & Tianle Zhang, 2018. "Entry and Welfare in Search Markets," Economic Journal, Royal Economic Society, vol. 128(608), pages 55-80, February.
    17. Petrikaitė, Vaiva, 2022. "Escaping search when buying," International Journal of Industrial Organization, Elsevier, vol. 82(C).
    18. Moraga-González, José-Luis & Sun, Yajie, 2022. "Product Quality and Consumer Search," CEPR Discussion Papers 14669, C.E.P.R. Discussion Papers.
    19. Fishman, Arthur & Lubensky, Dmitry, 2018. "Search prominence and return costs," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 136-161.
    20. Mark Armstrong & Jidong Zhou, 2011. "Paying for Prominence," Economic Journal, Royal Economic Society, vol. 121(556), pages 368-395, November.

    More about this item

    Keywords

    Mergers; Insiders; Outsiders; Short-run; Long-run; Consumer search; Demand-side economies; Economies of search; Orders of search; Sequential search;
    All these keywords.

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • 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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cpr:ceprdp:9374. 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: the person in charge (email available below). General contact details of provider: https://www.cepr.org .

    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.