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On Games of Strategic Experimentation

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  • Rosenberg, Dinah
  • Salomon , Antoine
  • Vieille , Nicolas

Abstract

We study a class of symmetric strategic experimentation games. Each of two players faces a (exponential) two-armed bandit problem, and must decide when to stop experimenting with the risky arm. The equilibrium amount of experimentation depends on the degree to which experimentation outcomes are observed, and on the correlation between the two individual bandit problems. When experimentation outcomes are public, the game is basically one of strategic complementarities. When experimentation decisions are public, but outcomes are private, the strategic interaction is more complex. We fully characterize the equilibrium behavior in both informational setups, leading to a clear comparison between the two. In particular, equilibrium payoffs are higher when equilibrium outcomes are public.

Suggested Citation

  • Rosenberg, Dinah & Salomon , Antoine & Vieille , Nicolas, 2013. "On Games of Strategic Experimentation," HEC Research Papers Series 1008, HEC Paris.
  • Handle: RePEc:ebg:heccah:1008
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    1. Aoyagi, Masaki, 1998. "Mutual Observability and the Convergence of Actions in a Multi-Person Two-Armed Bandit Model," Journal of Economic Theory, Elsevier, vol. 82(2), pages 405-424, October.
    2. Nicolas Klein & Sven Rady, 2011. "Negatively Correlated Bandits," Review of Economic Studies, Oxford University Press, vol. 78(2), pages 693-732.
    3. Philippe Aghion & Patrick Bolton & Christopher Harris & Bruno Jullien, 1991. "Optimal Learning by Experimentation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(4), pages 621-654.
    4. Godfrey Keller & Sven Rady & Martin Cripps, 2005. "Strategic Experimentation with Exponential Bandits," Econometrica, Econometric Society, vol. 73(1), pages 39-68, January.
    5. Dinah Rosenberg & Eilon Solan & Nicolas Vieille, 2007. "Social Learning in One-Arm Bandit Problems," Econometrica, Econometric Society, vol. 75(6), pages 1591-1611, November.
    6. David A. Malueg & Shunichi O. Tsutsui, 1997. "Dynamic R&D Competition with Learning," RAND Journal of Economics, The RAND Corporation, vol. 28(4), pages 751-772, Winter.
    7. Guiseppe Moscarini & Francesco Squintani, 2004. "Competitive Experimentation with Private Information," Cowles Foundation Discussion Papers 1489, Cowles Foundation for Research in Economics, Yale University.
    8. Moscarini, Giuseppe & Squintani, Francesco, 2010. "Competitive experimentation with private information: The survivor's curse," Journal of Economic Theory, Elsevier, vol. 145(2), pages 639-660, March.
    9. Dirk Bergemann & Ulrigh Hege, 2005. "The Financing of Innovation: Learning and Stopping," RAND Journal of Economics, The RAND Corporation, vol. 36(4), pages 719-752, Winter.
    10. Patrick Bolton & Christopher Harris, 1999. "Strategic Experimentation," Econometrica, Econometric Society, vol. 67(2), pages 349-374, March.
    11. , & ,, 2010. "Strategic experimentation with Poisson bandits," Theoretical Economics, Econometric Society, vol. 5(2), May.
    12. McLennan, Andrew, 1984. "Price dispersion and incomplete learning in the long run," Journal of Economic Dynamics and Control, Elsevier, vol. 7(3), pages 331-347, September.
    13. Pauli Murto & Juuso Välimäki, 2011. "Learning and Information Aggregation in an Exit Game," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(4), pages 1426-1461.
    14. Dirk Bergemann & Juuso Valimaki, 2006. "Bandit Problems," Cowles Foundation Discussion Papers 1551, Cowles Foundation for Research in Economics, Yale University.
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    Cited by:

    1. Svetlana Boyarchenko, 2020. "Super- and submodularity of stopping games with random observations," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 70(4), pages 983-1022, November.
    2. Khalil, Fahad & Lawarree, Jacques & Rodivilov, Alexander, 2020. "Learning from failures: Optimal contracts for experimentation and production," Journal of Economic Theory, Elsevier, vol. 190(C).
    3. Kaustav Das & Nicolas Klein & Katharina Schmid, 2020. "Strategic experimentation with asymmetric players," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 69(4), pages 1147-1175, June.
    4. Bonatti, Alessandro & Hörner, Johannes, 2017. "Learning to disagree in a game of experimentation," Journal of Economic Theory, Elsevier, vol. 169(C), pages 234-269.
    5. Thomas, Caroline, 2019. "Experimentation with reputation concerns – Dynamic signalling with changing types," Journal of Economic Theory, Elsevier, vol. 179(C), pages 366-415.
    6. Heidhues, Paul & Rady, Sven & Strack, Philipp, 2015. "Strategic experimentation with private payoffs," Journal of Economic Theory, Elsevier, vol. 159(PA), pages 531-551.
    7. Boyarchenko, Svetlana, 2021. "Inefficiency of sponsored research," Journal of Mathematical Economics, Elsevier, vol. 95(C).
    8. Wagner, Peter A. & Klein, Nicolas, 2022. "Strategic investment and learning with private information," Journal of Economic Theory, Elsevier, vol. 204(C).
    9. Rodivilov, Alexander, 2022. "Monitoring innovation," Games and Economic Behavior, Elsevier, vol. 135(C), pages 297-326.
    10. Margaria, Chiara, 2020. "Learning and payoff externalities in an investment game," Games and Economic Behavior, Elsevier, vol. 119(C), pages 234-250.
    11. Thomas, Caroline, 2020. "Stopping with congestion and private payoffs," Journal of Mathematical Economics, Elsevier, vol. 91(C), pages 18-42.
    12. Hoppe-Wewetzer, Heidrun & Katsenos, Georgios & Ozdenoren, Emre, 2023. "The effects of rivalry on scientific progress under public vs private learning," Journal of Economic Theory, Elsevier, vol. 212(C).

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    More about this item

    Keywords

    symmetric strategic experimentation games; equilibrium; strategic experimentation;
    All these keywords.

    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General

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