Efficiency under Uncertainty and Non‐convexity: Evaluating the Role of Probabilities

Jean-Paul Chavas () and Walter Briec

Economica, 2019, vol. 86, issue 344, 832-853

Abstract: This paper investigates the economics of uncertainty using a state‐contingent approach with a focus on the role of non‐convexity. Under efficiency, the slopes of a separating hypersurface measures state‐contingent prices. As argued by Yaari, normalized state‐contingent prices provide a measure of subjective probabilities. But efficiency under non‐convexity can require non‐linear pricing. The analysis identifies non‐convexity conditions under which probability assessments are not appropriate. Implications for economic and welfare analysis under uncertainty are discussed.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1111/ecca.12293

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:bla:econom:v:86:y:2019:i:344:p:832-853

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0013-0427

Access Statistics for this article

Economica is currently edited by Frank Cowell, Tore Ellingsen and Alan Manning

More articles in Economica from London School of Economics and Political Science Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().