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Decentralized Pure Exchange Processes on Networks

Decentralized pure exchange processes on networks
Authors: Daniele Cassese; Paolo Pin;

Decentralized Pure Exchange Processes on Networks

Abstract

Abstract We define a class of pure exchange Edgeworth trading processes that under minimal assumptions converge to a stable set in the space of allocations, and characterise the Pareto set of these processes. Choosing a specific process belonging to this class, that we define fair trading, we analyse the trade dynamics between agents located on a weighted network. We determine the conditions under which there always exists a one-to-one map between the set of networks and the set of limit points of the dynamics, and derive an analog of the Second Welfare Theorem for networks. This result is used to explore what is the effect of the network topology on the trade dynamics and on the final allocation.

Countries
United Kingdom, Italy
Keywords

FOS: Economics and business, FOS: Computer and information sciences, Trade models, 330, 3801 Applied Economics, Computer Science - Computer Science and Game Theory, 38 Economics, Econometrics (econ.EM), Economics - Econometrics, Computer Science and Game Theory (cs.GT)

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    popularity
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    influence
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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!
4
Top 10%
Average
Top 10%
Green
hybrid