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SSRN Electronic Journal
Article . 2016 . Peer-reviewed
Data sources: Crossref
Journal of Political Economy
Article . 2019 . Peer-reviewed
Data sources: Crossref
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'Nash-in-Nash' Bargaining: A Microfoundation for Applied Work

Authors: Allan Collard-Wexler; Gautam Gowrisankaran; Robin S. Lee;

'Nash-in-Nash' Bargaining: A Microfoundation for Applied Work

Abstract

A \Nash equilibrium in Nash bargains" has become the workhorse bargaining model in applied analyses of bilateral oligopoly. This paper proposes a non-cooperative foundation for \Nash-in-Nash" bargaining that extends the Rubinstein (1982) model to multiple upstream and downstream rms. Assuming there exists gains from trade for each rm pair, we prove that there exists an equilibrium with immediate agreement and negotiated prices that correspond to Rubinstein prices if and only if the marginal contribution of a set of agreements is weakly greater than the sum of the agreements’ marginal contributions. We provide stronger conditions under which equilibrium prices are unique.

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Keywords

jel: jel:L13, jel: jel:C78, jel: jel:D43

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    selected citations
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    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).
    144
    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.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    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!
144
Top 1%
Top 10%
Top 10%
bronze