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Preemption Games: Theory and Experiment

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  • Anderson, Steven T
  • Friedman, Daniel
  • Oprea, Ryan

Abstract

Several investors face an irreversible investment opportunity whose value V is governed by Brownian motion with upward drift and random expiration. The �rst investor i to seize the opportunity before expiration receives the current V less a privately known cost Ci; the other investors receive nothing. We characterize Bayesian Nash Equilibrium (BNE) for this game, extending previously known results. We also report a laboratory experiment with 72 subjects randomly matched into 600 tri- opolies. As predicted in BNE, subjects in triopolies invested at lower values than in monopolies, changes in Brownian parameters signi�cantly altered investment values in monopoly but not in triopoly; and the lowest cost investor in a triopoly usually preempted the others. Evidence was mixed on other BNE predictions, e.g., whether higher cost brings smaller markups. Overall, subjects' earnings came rather close to the BNE prediction.

Suggested Citation

  • Anderson, Steven T & Friedman, Daniel & Oprea, Ryan, 2008. "Preemption Games: Theory and Experiment," Santa Cruz Department of Economics, Working Paper Series qt0pr4g8h1, Department of Economics, UC Santa Cruz.
  • Handle: RePEc:cdl:ucscec:qt0pr4g8h1
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    References listed on IDEAS

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    1. Ryan Oprea & Daniel Friedman & Steven T. Anderson, 2009. "Learning to Wait: A Laboratory Investigation," Review of Economic Studies, Oxford University Press, vol. 76(3), pages 1103-1124.
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    5. Levin, Dan & Peck, James, 2003. "To Grab for the Market or to Bide One's Time: A Dynamic Model of Entry," RAND Journal of Economics, The RAND Corporation, vol. 34(3), pages 536-556, Autumn.
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    7. Andreas Park & Lones Smith, 2004. "Caller Number Five: Timing Games that Morph From One Form to Another," 2004 Meeting Papers 871, Society for Economic Dynamics.
    8. Lambrecht, Bart & Perraudin, William, 2003. "Real options and preemption under incomplete information," Journal of Economic Dynamics and Control, Elsevier, vol. 27(4), pages 619-643, February.
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    Cited by:

    1. Morreale, Azzurra & Mittone, Luigi & Lo Nigro, Giovanna, 2019. "Risky choices in strategic environments: An experimental investigation of a real options game," European Journal of Operational Research, Elsevier, vol. 279(1), pages 143-158.
    2. Zhu, Lei & Li, Li & Su, Bin, 2021. "The price-bidding strategy for investors in a renewable auction: An option games–based study," Energy Economics, Elsevier, vol. 100(C).
    3. Azevedo, Alcino & Paxson, Dean, 2014. "Developing real option game models," European Journal of Operational Research, Elsevier, vol. 237(3), pages 909-920.
    4. Catherine Bobtcheff & Jérôme Bolte & Thomas Mariotti, 2017. "Researcher’s Dilemma," Review of Economic Studies, Oxford University Press, vol. 84(3), pages 969-1014.
    5. Ayse Gül Mermer & Sander Onderstal & Joep Sonnemans, "undated". "Can Communication Mitigate Strategic Delays in Investment Timing?," Tinbergen Institute Discussion Papers 23-033/I, Tinbergen Institute.
    6. Bosch-Rosa, Ciril, 2018. "That's how we roll: An experiment on rollover risk," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 495-510.
    7. Stanton Hudja & Daniel Woods, 2024. "Exploration versus exploitation: A laboratory test of the single‐agent exponential bandit model," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 267-286, January.
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    9. Azzurra Morreale & Luigi Mittone & Thi-Thanh-Tam Vu & Mikael Collan, 2020. "To Wait or Not to Wait? Use of the Flexibility to Postpone Investment Decisions in Theory and in Practice," Sustainability, MDPI, vol. 12(8), pages 1-19, April.
    10. Sanjay Banerjee & Michael Maier, 2016. "Public Information Precision and Coordination Failure: An Experiment," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 941-986, September.

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    More about this item

    Keywords

    Preemption; Incomplete Information; Irreversible Investment; Laboratory Experiment;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies

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