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Games and Economic Behavior
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Equilibrium trust

Authors: Anderlini, Luca; Terlizzese, Daniele;

Equilibrium trust

Abstract

Trusting beliefs can be exploited. A trustful player who is cheated too often, should start trusting less, until her beliefs are correct. For this reason we model trust as an equilibriumphenomenon. Receivers of an offer to transact choose whether or not to cheat. Cheating entails a cost, with an idiosyncratic component and a socially determined one, decreasing with the mass of players who cheat. The model either has a unique equilibrium level of trust (the proportion of transactions not cheated on), or two — one with high and one with low trust. Differences in trust can result from different fundamentals or from different equilibria being realized. Surprisingly, under certain conditions these two alternatives are partially identifiable from an empirical point of view. Our model can be reinterpreted with the cost of cheating arising from an enforcement mechanism that punishes cheaters in a targeted way using limited resources.

Country
Italy
Keywords

Social norms, Multiple equilibria, Trust, Trust, Social norms, Multiple equilibria, Enforcement, Enforcement

  • BIP!
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    citations
    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).
    9
    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 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
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    Top 10%
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citations
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!
9
Top 10%
Average
Top 10%
Green