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Journal of Economic Theory
Article . 2008 . Peer-reviewed
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Article . 2008
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Article . 2004 . Peer-reviewed
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Informal Insurance in Social Networks

Informal insurance in social networks
Authors: Francis Bloch; Garance Genicot; Debraj Ray;

Informal Insurance in Social Networks

Abstract

This paper studies bilateral insurance schemes across networks of individuals. While transfers are based on social norms, individuals must have the incentive to comply. We investigate the structure of self-enforcing insurance networks. Network links play two distinct and possibly conflictual roles. They act as conduits for both transfers and information; affecting the scope for insurance and the severity of punishments upon noncompliance. Their interaction leads to a characterization of stable networks as suitably >sparse> networks. Thickly and thinly connected networks tend to be stable, whereas intermediate degrees of connectedness jeopardize stability. Finally, we discuss the effect of discounting on stability. © 2008 Elsevier Inc. All rights reserved.

Ray is grateful for funding from the National Science Foundation under grant No. 0241070.

Peer Reviewed

Keywords

social networks, sparseness, stable networks, Risk theory, insurance, informal insurance, risk sharing, norms, Social networks; opinion dynamics, reciprocity 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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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178
Top 1%
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36
171
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