Savage for dummies and experts
Mohammed Abdellaoui and
Journal of Economic Theory, 2020, vol. 186, issue C
Savage's foundation of expected utility is considered to be the most convincing justification of Bayesian expected utility and the crowning glory of decision theory. It combines exceptionally appealing axioms with deep mathematics. Despite the wide influence and deep respect that Savage received in economics and statistics, virtually no one touched his mathematical tools. We provide an updated analysis that is more general and more accessible. Our derivations are self-contained. This helps to better appreciate the depth and beauty of Savage's work and the foundations of Bayesianism, to teach it more easily, and to develop non-Bayesian generalizations incorporating ambiguity more efficiently.
Keywords: Subjective expected utility; Behavioral foundation; Mixture spaces; Foundations of statistics (search for similar items in EconPapers)
JEL-codes: C02 C60 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:jetheo:v:186:y:2020:i:c:s0022053120300016
Access Statistics for this article
Journal of Economic Theory is currently edited by A. Lizzeri and K. Shell
More articles in Journal of Economic Theory from Elsevier
Bibliographic data for series maintained by Catherine Liu ().