Fair ultimatum: an experimental study of the Myerson value
We conduct a laboratory experiment to test the empirical behavior of the bid-and-propose mechanism, defined in Navarro and Perea (2005). This mechanism implements the Myerson value for networks, and therefore its outcome posesses fairness properties. Since the bid-and-propose mechanism includes an ultimatum game in the last stage, we design an experiment with several treatments, where subjects also play the simple ultimatum game. In order to check whether subjectsbehave fairly in the sense of Myerson or they are inequity averse, we compare resultsfrom games with symmetric and asymmetric outside options.
|Date of creation:||Aug 2007|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: ++41 21 692.33.20
Web page: http://www.hec.unil.ch/deep/publications/cahiers/series
More information through EDIRC
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.:
- Matthew Rabin., 1992.
"Incorporating Fairness into Game Theory and Economics,"
Economics Working Papers
92-199, University of California at Berkeley.
- Rabin, Matthew, 1993. "Incorporating Fairness into Game Theory and Economics," American Economic Review, American Economic Association, vol. 83(5), pages 1281-1302, December.
- M. Rabin, 2001. "Incorporating Fairness into Game Theory and Economics," Levine's Working Paper Archive 511, David K. Levine.
- David K Levine, 1997.
"Modeling Altruism and Spitefulness in Experiments,"
Levine's Working Paper Archive
2047, David K. Levine.
- repec:att:wimass:9325 is not listed on IDEAS
- Navarro, Noemi, 2007. "Fair allocation in networks with externalities," Games and Economic Behavior, Elsevier, vol. 58(2), pages 354-364, February.
- Matthew O. Jackson & Asher Wolinsky, 1995.
"A Strategic Model of Social and Economic Networks,"
1098R, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Jackson, Matthew O., 2005.
"Allocation rules for network games,"
Games and Economic Behavior,
Elsevier, vol. 51(1), pages 128-154, April.
- Matthew O. Jackson, 2003. "Allocation Rules for Network Games," Working Papers 2003.51, Fondazione Eni Enrico Mattei.
- Matthew O. Jackson, 2003. "Allocation Rules for Network Games," Game Theory and Information 0303010, EconWPA.
- Matthew O. Jackson, 2003. "Allocation Rules for Network Games," Working Papers 1160, California Institute of Technology, Division of the Humanities and Social Sciences.
- Hessel Oosterbeek & Randolph Sloof & Gijs van de Kuilen, 2004.
"Cultural differences in ultimatum game experiments: Evidence from a meta-analysis,"
- Hessel Oosterbeek & Randolph Sloof & Gijs van de Kuilen, 2004. "Cultural Differences in Ultimatum Game Experiments: Evidence from a Meta-Analysis," Experimental Economics, Springer, vol. 7(2), pages 171-188, 06.
- Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer, vol. 10(2), pages 171-178, June.
- Gary E Bolton & Axel Ockenfels, 1997. "A Theory of Equity, Reciprocity, and Competition," Levine's Working Paper Archive 1889, David K. Levine.
- Noemí Navarro & Andrés Perea, 2001. "Bargaining In Networks And The Myerson Value," Economics Working Papers we016121, Universidad Carlos III, Departamento de Economía.
When requesting a correction, please mention this item's handle: RePEc:lau:crdeep:07.05. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gaëlle Sarda)
If references are entirely missing, you can add them using this form.