Learning in Sender-Receiver Games
AbstractStimulus-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 InfoPaper provided by University of Iowa, Department of Economics in its series Working Papers with number 98-02.
Length: 36 Pages
Date of creation: Jan 1998
Date of revision:
Contact details of provider:
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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Other versions of this item:
- DeJong, D.V. & Blume, A. & Neumann, G., 1998. "Learning in Sender-Receiver Games," Discussion Paper 1998-028, Tilburg University, Center for Economic Research.
- Blume, A. & De Jong, D.V. & Neumann, G.R., 1998. "Learning in sender-receiver games," Discussion Paper 1998-28, Tilburg University, Center for Economic Research.
- Andreas Blume & Douglas V. DeJong & George R. Neumann & Nathan E. Savin, 1998. "Learning in Sender-Receiver Games," CIG Working Papers FS IV 98-13, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
- C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
- C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
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