Understanding the nonadditive probability decision model (*)
Sujoy Mukerji
Economic Theory, 1996, vol. 9, issue 1, 23-46
Abstract:
The pioneering research of Schmeidler [19] [20] and others identified behavioral axioms that underlie preferences consistent with the maximization of Choquet expected utility. However, these theories do not clarify the link between the epistemics of the decision maker's (DM) problem and his choice. This paper shows that if the DM is aware that his anticipation and perception of future contingencies is incomplete, then his subjective beliefs will be described by a nonadditive probability specification. Further, if the DM acts with a certain notion of caution given the incompleteness in his understanding of the environment, his preferences over acts may have a Choquet expected utility representation. The model developed here thus provides a justification of such beliefs and preferences based on "procedural rationality". The formalism also allows a simple characterization of how belief representation may change as the DM acquires a clearer picture of the contingency space underlying the uncertain environment.
Date: 1996
Note: Received: April 6, 1995; revised version November 27, 1995
References: Add references at CitEc
Citations: View citations in EconPapers (13)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:joecth:v:9:y:1996:i:1:p:23-46
Ordering information: This journal article can be ordered from
http://www.springer. ... eory/journal/199/PS2
Access Statistics for this article
Economic Theory is currently edited by Nichoals Yanneils
More articles in Economic Theory from Springer, Society for the Advancement of Economic Theory (SAET) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().