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Beef up Your Competitor: A Model of Advertising Cooperation between Internet Search Engines

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Listed:
  • Geza Sapi
  • Irina Suleymanova

Abstract

We propose a duopoly model of competition between internet search engines endowed with different technologies and study the effects of an agreement where the more advanced firm shares its technology with the inferior one. We show that the superior firm enters the agreement only if it results in a large enough increase in demand for advertising space at the competing .rm and a relatively small improvement of the competitor's search quality. Although the superior firm gains market share, the agreement is beneficial for the inferior firm, as the later firm's additional revenues from a higher advertising demand outweigh its losses due to a smaller user pool. The cooperation is likely to be in line with the advertisers' interests and to be detrimental to users' welfare.

Suggested Citation

  • Geza Sapi & Irina Suleymanova, 2009. "Beef up Your Competitor: A Model of Advertising Cooperation between Internet Search Engines," Discussion Papers of DIW Berlin 870, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp870
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    References listed on IDEAS

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    1. Ederington, Louis H, 1985. "Classification Models and Bond Ratings," The Financial Review, Eastern Finance Association, vol. 20(4), pages 237-262, November.
    2. Feng, D. & Gourieroux, C. & Jasiak, J., 2008. "The ordered qualitative model for credit rating transitions," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 111-130, January.
    3. Kamstra, Mark & Kennedy, Peter, 1998. "Combining qualitative forecasts using logit," International Journal of Forecasting, Elsevier, pages 83-93.
    4. Kamstra, Mark & Kennedy, Peter & Suan, Teck-Kin, 2001. "Combining Bond Rating Forecasts Using Logit," The Financial Review, Eastern Finance Association, vol. 36(2), pages 75-96, May.
    5. David F. Hendry & Carlos Santos, 2005. "Regression Models with Data-based Indicator Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(5), pages 571-595, October.
    6. Amato, Jeffery D. & Furfine, Craig H., 2004. "Are credit ratings procyclical?," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2641-2677, November.
    7. Kolari, James & Glennon, Dennis & Shin, Hwan & Caputo, Michele, 2002. "Predicting large US commercial bank failures," Journal of Economics and Business, Elsevier, vol. 54(4), pages 361-387.
    8. Carmen M. Reinhart, 2002. "An Introduction," World Bank Economic Review, World Bank Group, vol. 16(2), pages 149-150, August.
    9. David F. Hendry, 2001. "Modelling UK inflation, 1875-1991," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 255-275.
    10. Pinches, George E & Mingo, Kent A, 1973. "A Multivariate Analysis of Industrial Bond Ratings," Journal of Finance, American Finance Association, vol. 28(1), pages 1-18, March.
    11. David T. Llewellyn, 2008. "The Northern Rock crisis: a multi-dimensional problem waiting to happen," Journal of Financial Regulation and Compliance, Emerald Group Publishing, vol. 16(1), pages 35-58, February.
    12. Jackson, John D. & Boyd, James W., 1988. "A statistical approach to modeling the behavior of bond raters," Journal of Behavioral Economics, Elsevier, vol. 17(3), pages 173-193.
    13. Altman, Edward I. & Rijken, Herbert A., 2004. "How rating agencies achieve rating stability," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2679-2714, November.
    14. Altman, Edward I. & Bharath, Sreedhar T. & Saunders, Anthony, 2002. "Credit ratings and the BIS capital adequacy reform agenda," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 909-921, May.
    15. Meyer, Paul A & Pifer, Howard W, 1970. "Prediction of Bank Failures," Journal of Finance, American Finance Association, vol. 25(4), pages 853-868, September.
    16. Giuliano Iannotta, 2006. "Testing for Opaqueness in the European Banking Industry: Evidence from Bond Credit Ratings," Journal of Financial Services Research, Springer;Western Finance Association, vol. 30(3), pages 287-309, December.
    17. Altman, Edward I. & Saunders, Anthony, 2001. "An analysis and critique of the BIS proposal on capital adequacy and ratings," Journal of Banking & Finance, Elsevier, vol. 25(1), pages 25-46, January.
    18. repec:bla:joares:v:4:y:1966:i::p:44-62 is not listed on IDEAS
    19. Stefanescu, Catalina & Tunaru, Radu & Turnbull, Stuart, 2009. "The credit rating process and estimation of transition probabilities: A Bayesian approach," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 216-234, March.
    20. Donald P. Morgan, 2002. "Rating Banks: Risk and Uncertainty in an Opaque Industry," American Economic Review, American Economic Association, vol. 92(4), pages 874-888, September.
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    More about this item

    Keywords

    Search Engine; Two-Sided Market; Advertising; Strategic Complements; Technology;

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L24 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Contracting Out; Joint Ventures
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

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