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Computational analysis of perfect-information position auctions

Author

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  • Thompson, David R.M.
  • Leyton-Brown, Kevin

Abstract

After experimentation with other designs, major search engines converged on weighted, generalized second-price auctions (wGSPs) for selling keyword advertisements. Theoretical analysis is still not able to settle the question of why they found this design preferable to other alternatives. We approach this question in a new way, adopting an analytical paradigm we dub “computational mechanism analysis.” Specifically, we sample position auction games from a given distribution, encode them in a computationally efficient representation language, compute their Nash equilibria, and calculate economic quantities of interest. We considered seven widely studied valuation models from the literature and three position auction variants. We found that wGSP consistently showed the best ads of any position auction, measured both by social welfare and expected number of clicks. In contrast, we found that revenue was extremely variable across auction mechanisms and was highly sensitive to equilibrium selection, the preference model, and the valuation distribution.

Suggested Citation

  • Thompson, David R.M. & Leyton-Brown, Kevin, 2017. "Computational analysis of perfect-information position auctions," Games and Economic Behavior, Elsevier, vol. 102(C), pages 583-623.
    • Handle: RePEc:eee:gamebe:v:102:y:2017:i:c:p:583-623
    DOI: 10.1016/j.geb.2017.02.009
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    References listed on IDEAS

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    1. Susan Athey & Glenn Ellison, 2011. "Position Auctions with Consumer Search," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(3), pages 1213-1270.
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    7. Varian, Hal R., 2007. "Position auctions," International Journal of Industrial Organization, Elsevier, vol. 25(6), pages 1163-1178, December.
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    Cited by:

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    More about this item

    Keywords

    Computational mechanism analysis; Position auctions; Sponsored search; Compact game representations;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • 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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