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Learning and communication in sender-receiver games: an econometric investigation

Author

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  • Andreas Blume

    (Department of Economics, University of Pittsburgh, USA)

  • Douglas V. DeJong

    (Tippie College of Business, University of Iowa, Iowa City, IA 52242 USA)

  • George R. Neumann

    (Tippie College of Business, University of Iowa, Iowa City, IA 52242 USA)

  • N. E. Savin

    (Tippie College of Business, University of Iowa, Iowa City, IA 52242 USA)

Abstract

This paper compares stimulus response (SR) and belief-based learning (BBL) using data from experiments with sender-receiver games. The environment, extensive form games played in a population setting, is novel in the empirical literature on learning in games. Both the SR and BBL models fit the data reasonably well in games where the preferences of senders and receivers are perfectly aligned and where the population history of the senders is known. The test results accept SR and reject BBL in games without population history and in all but one of the games where senders and receivers have different preferences over equilibria. Estimation is challenging since the likelihood function is not globally concave and the data become uninformative about learning once equilibrium is achieved. Copyright © 2002 John Wiley & Sons, Ltd.

Suggested Citation

  • Andreas Blume & Douglas V. DeJong & George R. Neumann & N. E. Savin, 2002. "Learning and communication in sender-receiver games: an econometric investigation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(3), pages 225-247.
  • Handle: RePEc:jae:japmet:v:17:y:2002:i:3:p:225-247
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    References listed on IDEAS

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    2. Hopkins, Ed, 2007. "Adaptive learning models of consumer behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 348-368.
    3. Battaglini, Marco & Makarov, Uliana, 2014. "Cheap talk with multiple audiences: An experimental analysis," Games and Economic Behavior, Elsevier, vol. 83(C), pages 147-164.
    4. Hagenbach, Jeanne & Perez-Richet, Eduardo, 2018. "Communication with evidence in the lab," Games and Economic Behavior, Elsevier, vol. 112(C), pages 139-165.
    5. Sascha Behnk & Iván Barreda-Tarrazona & Aurora García-Gallego, 2017. "An experimental test of reporting systems for deception," Working Papers 2017/11, Economics Department, Universitat Jaume I, Castellón (Spain).
    6. Mitropoulos, Atanasios, 2003. "An experiment on the value of structural information in a 2 x 2 repeated game," Economics Letters, Elsevier, vol. 78(1), pages 27-32, January.
    7. Ed Hopkins, 2002. "Two Competing Models of How People Learn in Games," Econometrica, Econometric Society, vol. 70(6), pages 2141-2166, November.
    8. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011, Elsevier.
    9. Kluger, Brian D. & Slezak, Steve L., 2018. "Signal jamming models of fraudulent misreporting and economic prospects: An experimental investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 151(C), pages 254-283.
    10. Claude Meidinger, 2018. "Cooperation and evolution of meaning in senders-receivers games," Post-Print halshs-01960762, HAL.
    11. Behnk, Sascha & Barreda-Tarrazona, Iván & García-Gallego, Aurora, 2019. "Deception and reputation – An experimental test of reporting systems," Journal of Economic Psychology, Elsevier, vol. 71(C), pages 37-58.
    12. Claude Meidinger, 2018. "Cooperation and evolution of meaning in senders-receivers games," Documents de travail du Centre d'Economie de la Sorbonne 18036, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    13. Claude Meidinger, 2018. "Cooperation and evolution of meaning in senders-receivers games," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01960762, HAL.
    14. Antonio Cabrales & Walter Garcia Fontes, 2000. "Estimating learning models from experimental data," Economics Working Papers 501, Department of Economics and Business, Universitat Pompeu Fabra.

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