This paper reports experimental evidence on behaviour in an Ultimatum Game where responders have low structural information and feedback so that they have to learn the nature of the game during repeated play. The results lend support to the view that certain learning conditions are less favourable in terms of individual outcomes than others as suggested by the contingent learning approach (Slembeck, 1998). Furthermore, there is evidence that proposers behave "less fair" when responders lack structural information, which contrasts with common notions of fairness or "manners" in ultimatum bargaining (Camerer and Thaler 1995).
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Paper provided by EconWPA in its series Experimental with number
9905001.
Length: 27 pages Date of creation: 04 May 1999 Date of revision: Handle: RePEc:wpa:wuwpex:9905001
Note: Type of Document - PDF-File; prepared on IBM PC; to print on HP/PostScript/; pages: 27 ; figures: included. Discussion Paper No. 9903, Department of Economics, University of St.Gallen, March 1999 Contact details of provider: Web page: http://129.3.20.41
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Find related papers by JEL classification: C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Kalai, Ehud & Lehrer, Ehud, 1993.
"Subjective Games and Equilibria,"
Working Papers
875, California Institute of Technology, Division of the Humanities and Social Sciences.
[Downloadable!]
Itzhak Gilboa & David Schmeidler, 1993.
"Case-Based Optimization,"
Discussion Papers
1039, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
[Downloadable!]
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