Decision makers facing uncertainty: Theory versus evidence
Paolo Giordani,
Karl Schlag and
Sanne Zwart
Journal of Economic Psychology, 2010, vol. 31, issue 4, 659-675
Abstract:
This paper aims at assessing cultural differences in uncertainty attitude across Europe. We select questions from the European Values Survey (EVS) capturing salient features of uncertain scenarios ("safe versus uncertain", "freedom of choice" and "reduction of uncertainty"), and formalize these questions through simple decision-theoretic problems. We then consider three competing normative models of choice under uncertainty (subjective expected utility (SEU), maximin utility and minimax regret), and analyze how they behave when facing each decision problem. We obtain theoretical predictions and, using the EVS dataset, we test them via latent class analysis to estimate the distribution of these behaviors across EU15. We find a larger proportion of SEU maximizers (Bayesians) in northern countries than in southern countries. The opposite is true for maximin utility behavior. Only a few are consistent with minimax regret behavior.
Keywords: Uncertainty; Maximin; Minimax; regret; Bayesianism; Cross-cultural; differences; European; Values; Survey; Latent; class; analysis (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-4870(10)00057-7
Full text for ScienceDirect subscribers only
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:eee:joepsy:v:31:y:2010:i:4:p:659-675
Access Statistics for this article
Journal of Economic Psychology is currently edited by G. Antonides and D. Read
More articles in Journal of Economic Psychology from Elsevier
Bibliographic data for series maintained by Catherine Liu ().