Adaptive Learning versus Punishment in Ultimatum Bargaining

  title={Adaptive Learning versus Punishment in Ultimatum Bargaining},
  author={Klaus Abbink and Gary E. Bolton and Abdolkarim Sadrieh and Fang-Fang Tang},
  journal={Games and Economic Behavior},
Adaptive learning and a fairness motive we call ‘‘punishment’’ are the basis for two prominent and substantially different types of theories of ultimatum bargaining behavior. We compare adaptive learning and fairness in an experiment that involves punishment and reward versions of the ultimatum game. We draw conclusions concerning the abilities and limitations of both types of theories. The results shed light on how learning and fairness interact, information that should be useful in… CONTINUE READING
Highly Cited
This paper has 34 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
25 Citations
16 References
Similar Papers

Similar Papers

Loading similar papers…