Intertemporal stability of ambiguity preferences
Peter Duersch,
Daniel Römer and
Benjamin Roth
Authors registered in the RePEc Author Service: Peter Dürsch
No 548, Working Papers from University of Heidelberg, Department of Economics
Abstract:
To make predictions with theories, usually we assume an individual's characteristics such as uncertainty preferences to be stable over time. In this paper, we analyze the stability of ambiguity preferences experimentally. We repeatedly elicit ambiguity attitudes towards multiple 3-color Ellsberg urns over a period of two months. In our data, 57% of the choices are consistent with stable preferences over the time of observation. This share is significantly higher than random choices would suggest, but significantly lower than the level of consistency in a control treatment without a time lag (71%). Interestingly, for subjects who are able to recall their decision after two months correctly, the share of consistent choices does not drop significantly over time.
Keywords: ambiguity; stability of preferences; experiment (search for similar items in EconPapers)
Date: 2013-08-13
New Economics Papers: this item is included in nep-cbe, nep-exp and nep-upt
Note: This paper is part of http://archiv.ub.uni-heidelberg.de/volltextserver/view/schriftenreihen/sr-3.html
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://nbn-resolving.de/urn:nbn:de:bsz:16-heidok-154005 Frontdoor page on HeiDOK (text/html)
https://archiv.ub.uni-heidelberg.de/volltextserver ... _roth_2013_dp548.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:awi:wpaper:0548
Access Statistics for this paper
More papers in Working Papers from University of Heidelberg, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Gabi Rauscher ( this e-mail address is bad, please contact ).