How does voice matter? Evidence from the ultimatum game
Abstract
Prior research has demonstrated that the ability to express one’s views or “voice” matters in social and economic interactions, but little is known of the mechanisms through which voice operates. Using an experimental approach based on the ultimatum game with the strategy method, we explore four potential channels for voice that encompass and expand on prior work: the knowledge effect of voice, the value expressive (or inherent value) of voice, the expectation effect of voice, and the procedural fairness effects of voice. Our results show strong effects through the value expressive and expectation channel, but not through either the knowledge channel or procedural fairness. In our view, voice is powerful because people like to express their views and they are disappointed when their views did not make a difference in their outcomes. Copyright Economic Science Association 2012Download Info
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic Info
Article provided by Springer in its journal Experimental Economics.
Volume (Year): 15 (2012)
Issue (Month): 4 (December)
Pages: 604-621
Contact details of provider:
Web page: http://www.springerlink.com/link.asp?id=102888
Related research
Keywords: Fairness; Expectation channel; Procedural fairness; Strategy method; Ultimatum game; Value expressive channel; Voice; C91; D30;Other versions of this item:
- Qiyan Ong & Steven M. Sheffrin, 2010. "How Does Voice Matter? Evidence from the Ultimatum Game," Working Papers 1004, Tulane University, Department of Economics.
- D30 - Microeconomics - - Distribution - - - General
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
References
References listed on IDEASPlease 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.:
- John List & Todd Cherry, 2000. "Learning to Accept in Ultimatum Games: Evidence from an Experimental Design that Generates Low Offers," Experimental Economics, Springer, vol. 3(1), pages 11-29, June.
Citations
Lists
This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.Statistics
Access and download statisticsCorrections
When requesting a correction, please mention this item's handle: RePEc:kap:expeco:v:15:y:2012:i:4:p:604-621For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn) or (Christopher F. Baum).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.

