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Learning in Sender-Receiver Games

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Author Info

  • Blume, A.

    ()
    (University of Iowa)

  • DeJong, D.V.

    ()
    (University of Iowa)

  • Neumann, G.R.

    ()
    (University of Iowa)

  • Savin, N.E.

    (University of Iowa)

Abstract

Stimulus-response (SR) and belief-based learning (BBL) models are estimated with experimental data from sender-receiver games and compared using the Davidson and MacKinnon P-test for non-nested hypotheses. Depending on a certain adjustment parameter, the P-test favors the SR model, the BBL model or neither of the models. Following Camerer and Ho, the models are also compared to a hybrid model that incorporates a mixture of both types of learning. The hybrid model is frequently not significantly better than either the SR or the BBL model. The sensitivity of the results to observations taken after learning has ceased is investigated.

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Bibliographic Info

Paper provided by University of Iowa, Department of Economics in its series Working Papers with number 98-02.

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Length: 36 Pages
Date of creation: Jan 1998
Date of revision:
Handle: RePEc:uia:iowaec:98-02

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Postal: University of Iowa, Department of Economics, Henry B. Tippie College of Business, Iowa City, Iowa 52242
Phone: (319) 335-0829
Fax: (319) 335-1956
Web page: http://tippie.uiowa.edu/economics/
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  1. Cheung, Yin-Wong & Friedman, Daniel, 1997. "Individual Learning in Normal Form Games: Some Laboratory Results," Games and Economic Behavior, Elsevier, vol. 19(1), pages 46-76, April.
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  4. Blume, Andreas, et al, 1998. "Experimental Evidence on the Evolution of Meaning of Messages in Sender-Receiver Games," American Economic Review, American Economic Association, vol. 88(5), pages 1323-40, December.
  5. V. Crawford & J. Sobel, 2010. "Strategic Information Transmission," Levine's Working Paper Archive 544, David K. Levine.
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  7. Selten, Reinhard, . "Features of Experimentally Observed Bounded Rationality," Discussion Paper Serie B 421, University of Bonn, Germany, revised Nov 1997.
  8. T. Borgers & R. Sarin, 2010. "Learning Through Reinforcement and Replicator Dynamics," Levine's Working Paper Archive 380, David K. Levine.
  9. Russell Davidson & James G. MacKinnon, 1982. "Convenient Specification Tests for Logit and Probit Models," Working Papers 514, Queen's University, Department of Economics.
  10. Mookherjee Dilip & Sopher Barry, 1994. "Learning Behavior in an Experimental Matching Pennies Game," Games and Economic Behavior, Elsevier, vol. 7(1), pages 62-91, July.
  11. Stein, Jeremy C, 1989. "Cheap Talk and the Fed: A Theory of Imprecise Policy Announcements," American Economic Review, American Economic Association, vol. 79(1), pages 32-42, March.
  12. Boylan Richard T. & El-Gamal Mahmoud A., 1993. "Fictitious Play: A Statistical Study of Multiple Economic Experiments," Games and Economic Behavior, Elsevier, vol. 5(2), pages 205-222, April.
  13. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-81, September.
  14. Boylan, Richard T. & El-Gamal, Mahmoud A., 1990. "Fictitious Play: A Statistical Study of Multiple Economic Experiments," Working Papers 737, California Institute of Technology, Division of the Humanities and Social Sciences.
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