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Continuity, Inertia, and Strategic Uncertainty: A Test of the Theory of Continuous Time Games

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  • Evan Calford
  • Ryan Oprea

Abstract

The theory of continuous time games (Simon and Stinchcombe (1989), Bergin and MacLeod (1993)) shows that continuous time interactions can generate very different equilibrium behavior than conventional discrete time interactions. We introduce new laboratory methods that allow us to eliminate natural inertia in subjects' decisions in continuous time experiments, thereby satisfying critical premises of the theory and enabling a first‐time direct test. Applying these new methods to a simple timing game, we find strikingly large gaps in behavior between discrete and continuous time as the theory suggests. Reintroducing natural inertia into these games causes continuous time behavior to collapse to discrete time‐like levels in some settings as predicted by subgame perfect Nash equilibrium. However, contra this prediction, the strength of this effect is fundamentally shaped by the severity of inertia: behavior tends towards discrete time benchmarks as inertia grows large and perfectly continuous time benchmarks as it falls towards zero. We provide evidence that these results are due to changes in the nature of strategic uncertainty as inertia approaches the continuous limit.

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  • Evan Calford & Ryan Oprea, 2017. "Continuity, Inertia, and Strategic Uncertainty: A Test of the Theory of Continuous Time Games," Econometrica, Econometric Society, vol. 85, pages 915-935, May.
  • Handle: RePEc:wly:emetrp:v:85:y:2017:i::p:915-935
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    3. Ghidoni, Riccardo & Suetens, Sigrid, 2019. "Empirical Evidence on Repeated Sequential Games," Other publications TiSEM ff3a441f-e196-4e45-ba59-c, Tilburg University, School of Economics and Management.
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    5. van Leeuwen, Boris & Offerman, Theo & van de Ven, Jeroen, 2018. "Fight or Flight : Endogenous Timing in Conflicts," Discussion Paper 2018-052, Tilburg University, Center for Economic Research.
    6. M. Djiguemde & D. Dubois & A. Sauquet & M. Tidball, 2022. "Continuous Versus Discrete Time in Dynamic Common Pool Resource Game Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 985-1014, August.
    7. 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.
    8. Choi, S. & Goyal, S. & Moisan, F., 2020. "Brokerage Rents and Intermediation Networks," Cambridge Working Papers in Economics 2005, Faculty of Economics, University of Cambridge.
    9. Matthew Embrey & Guillaume R Fréchette & Sevgi Yuksel, 2018. "Cooperation in the Finitely Repeated Prisoner’s Dilemma," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 509-551.
    10. Marco Castillo & Ahrash Dianat, 2021. "Strategic uncertainty and equilibrium selection in stable matching mechanisms: experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 24(4), pages 1365-1389, December.
    11. Johannes Hoelzemann & Nicolas Klein, 2021. "Bandits in the lab," Quantitative Economics, Econometric Society, vol. 12(3), pages 1021-1051, July.
    12. Choi, S & Goyal, S. & Moisan, F., 2019. "Connectors and Influencers," Cambridge Working Papers in Economics 1935, Faculty of Economics, University of Cambridge.
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    20. He, Simin & Zhu, Xun, 2023. "Real-time monitoring in a public-goods game," Games and Economic Behavior, Elsevier, vol. 142(C), pages 454-479.

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