Equilibria under Knightian Price Uncertainty
Patrick Beißner and
Frank Riedel
Additional contact information
Patrick Beißner: Center for Mathematical Economics, Bielefeld University
Authors registered in the RePEc Author Service: Patrick Beißner
No 597, Center for Mathematical Economics Working Papers from Center for Mathematical Economics, Bielefeld University
Abstract:
We study economies in which agents face Knightian uncertainty about state prices. Knightian uncertainty leads naturally to nonlinear expectations. We introduce a corresponding equilibrium concept with sublinear prices and prove that equilibria exist under weak conditions. In general, such equilibria lead to Pareto inefficient allocations; the equilibria coincide with Arrow-Debreu equilibria only if the values of net trades are ambiguity-free in the mean. In economies without aggregate uncertainty, inefficiencies are generic. We introduce a constrained efficiency concept, uncertainty-neutral efficiency; equilibrium allocations under price uncertainty are efficient in this constrained sense. Arrow-Debreu equilibria turn out to be non-robust with respect to the introduction of Knightian uncertainty.
Pages: 28
Date: 2018-08-16
New Economics Papers: this item is included in nep-mic
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://pub.uni-bielefeld.de/download/2930443/2930444 First Version, 2018 (application/pdf)
Related works:
Journal Article: Equilibria Under Knightian Price Uncertainty (2019) 
Working Paper: Equilibria Under Knightian Price Uncertainty (2019) 
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:bie:wpaper:597
Access Statistics for this paper
More papers in Center for Mathematical Economics Working Papers from Center for Mathematical Economics, Bielefeld University Contact information at EDIRC.
Bibliographic data for series maintained by Bettina Weingarten ().