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Economic Theory
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Intermediation in Networks

Intermediation in networks
Authors: Jan-Peter Siedlarek;

Intermediation in Networks

Abstract

I study intermediation in networked markets using a stochastic model of multilateral bargaining in which traders compete on different routes through the network. I characterize stationary equilibrium payoffs as the fixed point of a set of intuitive value function equations and study efficiency and the impact of network structure on payoffs. There is never too little trade but there may be an inefficiency through too much trade in states where delay would be efficient. With homogenous trade surplus the payoffs for players that are not essential to a trade opportunity go to zero as trade frictions vanish.

Country
Germany
Keywords

Middlemen, intermediation, 330, Stochastic models in economics, Network, bargaining; financial networks;intermediation; matching; middlemen; networks; over-the-counter markets; stochastic games, C73, Stochastic Games, stochastic games, C78, middlemen, L14, Trade models, financial networks, ddc:330, matching, bargaining, bargaining; financial networks; intermediation; matching; middlemen; networks; over-the-counter markets; stochastic games, Random Matching, Stochastic Games, Bargaining, Random Matching, Middlemen, Network, networks, bargaining, financial networks,intermediation, matching, middlemen, networks, over-the-counter markets, stochastic games, over-the-counter markets, jel: jel:C73, jel: jel:C78, jel: jel:L14

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
16
Top 10%
Top 10%
Top 10%
bronze