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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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The Review of Economic Studies
Article . 1975 . Peer-reviewed
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On a Theorem of Arrow

On a theorem of Arrow
Authors: Nagatani, Keizo;

On a Theorem of Arrow

Abstract

In a famous article [1], Arrow studied the allocation of risk-bearing in a competitive economy consisting of I individuals, C commodities and S states. Two schemes were considered. The first scheme was one equipped with S x C complete contingent commodity claims. These claims were assumed to be tradable in the market. The second scheme, in contrast, was equipped with S types of independent2 money claims and a set of C " spot " markets to be opened upon the occurrence of a particular state. Arrow then arrived at a remarkable conclusion (his Theorem 2) that the two schemes would lead to the same optimal allocation of risk-bearing. The " social significance" of the second scheme, he said, was that " it permits economizing on markets; only S+ C markets are needed to achieve the optimal allocation, instead of the SC markets ". I wish to argue, however, that the two schemes will not generally lead to the same allocation and consequently that the theorem is false.

Keywords

Trade models, General biology and biomathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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