{"title":"Informal Risk Sharing with Local Information","authors":"A. Ambrus, Wayne Yuan Gao, Pau Milán","doi":"10.2139/ssrn.3220524","DOIUrl":null,"url":null,"abstract":"This paper considers the effect of contracting limitations in risk-sharing networks, arising \nfor example from observability, verifiability, complexity or cultural constraints. We \nderive necessary and sufficient conditions for Pareto efficiency under these constraints in \na general setting, and we provide an explicit characterization of Pareto efficient bilateral \ntransfer profiles under CARA utility and normally distributed endowments. Our model \npredicts that network centrality is positively correlated with consumption volatility, as \nmore central agents become quasi-insurance providers to more peripheral agents. The proposed \nframework has important implications for the empirical specification of risk-sharing \ntests, allowing for local risk-sharing groups that overlap within the village network.","PeriodicalId":285784,"journal":{"name":"ERN: Economics of Contract: Theory (Topic)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Economics of Contract: Theory (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3220524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
This paper considers the effect of contracting limitations in risk-sharing networks, arising
for example from observability, verifiability, complexity or cultural constraints. We
derive necessary and sufficient conditions for Pareto efficiency under these constraints in
a general setting, and we provide an explicit characterization of Pareto efficient bilateral
transfer profiles under CARA utility and normally distributed endowments. Our model
predicts that network centrality is positively correlated with consumption volatility, as
more central agents become quasi-insurance providers to more peripheral agents. The proposed
framework has important implications for the empirical specification of risk-sharing
tests, allowing for local risk-sharing groups that overlap within the village network.