Replication data for: Consumption Risk-Sharing in Social Networks
Principal Investigator(s): View help for Principal Investigator(s) Attila Ambrus; Markus Mobius; Adam Szeidl
Version: View help for Version V1
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Project Citation:
Ambrus, Attila, Mobius, Markus, and Szeidl, Adam. Replication data for: Consumption Risk-Sharing in Social Networks. Nashville, TN: American Economic Association [publisher], 2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112722V1
Project Description
Summary:
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We develop a model in which connections between individuals serve
as social collateral to enforce informal insurance payments. We show
that: (i) The degree of insurance is governed by the expansiveness of
the network, measured with the per capita number of connections
that groups have with the rest of the community. "Two-dimensional"
networks—like real-world networks in Peruvian villages—are sufficiently
expansive to allow very good risk-sharing. (ii) In second-
best
arrangements, insurance is local: agents fully share shocks within,
but imperfectly between endogenously emerging risk-sharing groups.
We also discuss how endogenous social collateral affects our results.
Scope of Project
JEL Classification:
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D85 Network Formation and Analysis: Theory
G22 Insurance; Insurance Companies; Actuarial Studies
O15 Economic Development: Human Resources; Human Development; Income Distribution; Migration
O17 Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
Z13 Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
D85 Network Formation and Analysis: Theory
G22 Insurance; Insurance Companies; Actuarial Studies
O15 Economic Development: Human Resources; Human Development; Income Distribution; Migration
O17 Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
Z13 Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
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