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Multilateral Bargaining in Networks: On the Prevalence of Inefficiencies

Multilateral bargaining in networks: on the prevalence of inefficiencies
Authors: Joosung Lee;

Multilateral Bargaining in Networks: On the Prevalence of Inefficiencies

Abstract

We introduce a new noncooperative multilateral bargaining model for network-restricted environments in which players can bargain only with their neighbors. The main theorem characterizes a condition on network structures for efficient equilibria. If the underlying network is either complete or circular, an efficient stationary subgame perfect equilibrium exists for all discount factors—all the players always try to reach an agreement as soon as practicable, and hence no strategic delay occurs. In any other network, however, an efficient equilibrium is impossible if a discount factor is greater than a certain threshold, as some players strategically delay an agreement. We also provide an example of a Braess-like paradox, in which network improvements decrease social welfare. The e-companion is available at https://doi.org/10.1287/opre.2018.1725 .

Country
United Kingdom
Related Organizations
Keywords

/dk/atira/pure/subjectarea/asjc/2000/2002, Economics and Econometrics, Discipline-Based Research, Noncooperative Bargaining, Braess's paradox, Communication Restriction, Network, noncooperative bargaining, cooperation restriction, network restriction, Auctions, bargaining, bidding and selling, and other market models, Noncooperative games, C72, Buyout, D72, Games involving graphs, D74, C78, /dk/atira/pure/subjectarea/aacsb/discipline_based_research, ddc:330, strategic delay, buyout, Braess’s Paradox, Coalition Formation, coalition formation, D85, Braess's Paradox

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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!
8
Top 10%
Average
Average
Green
bronze