Heterogeneity and risk sharing in village economies

We show how to use panel data on household consumption to directly estimate households' risk preferences. Specifically, we measure heterogeneity in risk aversion among households in Thai villages using a full risk-sharing model, which we then test allowing for this heterogeneity. There is subst...

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Main Authors: Chiappori, Pierre-Andre, Samphantharak, Krislert, Schulhofer-Wohl, Sam, Townsend, Robert
Other Authors: Massachusetts Institute of Technology. Department of Economics
Format: Article
Language:en_US
Published: The Econometric Society 2015
Online Access:http://hdl.handle.net/1721.1/96171
https://orcid.org/0000-0002-1528-8102
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author Chiappori, Pierre-Andre
Samphantharak, Krislert
Schulhofer-Wohl, Sam
Townsend, Robert
author2 Massachusetts Institute of Technology. Department of Economics
author_facet Massachusetts Institute of Technology. Department of Economics
Chiappori, Pierre-Andre
Samphantharak, Krislert
Schulhofer-Wohl, Sam
Townsend, Robert
author_sort Chiappori, Pierre-Andre
collection MIT
description We show how to use panel data on household consumption to directly estimate households' risk preferences. Specifically, we measure heterogeneity in risk aversion among households in Thai villages using a full risk-sharing model, which we then test allowing for this heterogeneity. There is substantial, statistically significant heterogeneity in estimated risk preferences. Full insurance cannot be rejected. As the risk-sharing as-if-complete-markets theory might predict, estimated risk preferences are unrelated to wealth or other characteristics. The heterogeneity matters for policy: Although the average household would benefit from eliminating village-level risk, less-risk-averse households that are paid to absorb that risk would be worse off by several percent of household consumption.
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spelling mit-1721.1/961712022-09-26T15:30:54Z Heterogeneity and risk sharing in village economies Chiappori, Pierre-Andre Samphantharak, Krislert Schulhofer-Wohl, Sam Townsend, Robert Massachusetts Institute of Technology. Department of Economics Townsend, Robert We show how to use panel data on household consumption to directly estimate households' risk preferences. Specifically, we measure heterogeneity in risk aversion among households in Thai villages using a full risk-sharing model, which we then test allowing for this heterogeneity. There is substantial, statistically significant heterogeneity in estimated risk preferences. Full insurance cannot be rejected. As the risk-sharing as-if-complete-markets theory might predict, estimated risk preferences are unrelated to wealth or other characteristics. The heterogeneity matters for policy: Although the average household would benefit from eliminating village-level risk, less-risk-averse households that are paid to absorb that risk would be worse off by several percent of household consumption. 2015-03-25T15:10:11Z 2015-03-25T15:10:11Z 2014-03 2013-06 Article http://purl.org/eprint/type/JournalArticle 17597323 1759-7331 http://hdl.handle.net/1721.1/96171 Chiappori, Pierre-André, Krislert Samphantharak, Sam Schulhofer-Wohl, and Robert M. Townsend. “Heterogeneity and Risk Sharing in Village Economies.” Quantitative Economics 5, no. 1 (March 2014): 1–27. https://orcid.org/0000-0002-1528-8102 en_US http://dx.doi.org/10.3982/qe131 Quantitative Economics Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf The Econometric Society MIT web domain
spellingShingle Chiappori, Pierre-Andre
Samphantharak, Krislert
Schulhofer-Wohl, Sam
Townsend, Robert
Heterogeneity and risk sharing in village economies
title Heterogeneity and risk sharing in village economies
title_full Heterogeneity and risk sharing in village economies
title_fullStr Heterogeneity and risk sharing in village economies
title_full_unstemmed Heterogeneity and risk sharing in village economies
title_short Heterogeneity and risk sharing in village economies
title_sort heterogeneity and risk sharing in village economies
url http://hdl.handle.net/1721.1/96171
https://orcid.org/0000-0002-1528-8102
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