Name File Type Size Last Modified
Replication data for: Testing Efficient Risk Sharing with Heterogeneous Risk Preferences: Comment 0

Project Citation: 

Shrinivas, Aditya, and Fafchamps, Marcel. Replication data for: Testing Efficient Risk Sharing with Heterogeneous Risk Preferences: Comment. Nashville, TN: American Economic Association [publisher], 2018. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113181V1

Project Description

Summary:  View help for Summary Mazzocco and Saini (2012) propose and implement a test of efficient risk sharing that allows for preference heterogeneity. They motivate their approach as yielding different results from those of standard efficiency test with homogeneous preferences. We show that the standard efficiency test results are misreported in their paper and that the correctly reported results do not present as compelling a case for the importance of accounting for heterogeneous preferences.

Scope of Project

JEL Classification:  View help for JEL Classification
      D12 Consumer Economics: Empirical Analysis
      D81 Criteria for Decision-Making under Risk and Uncertainty
      G22 Insurance; Insurance Companies; Actuarial Studies
      O12 Microeconomic Analyses of Economic Development
      O18 Economic Development: Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
      R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
      Z13 Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
Geographic Coverage:  View help for Geographic Coverage India
Universe:  View help for Universe 3 villages in India's semi arid tropics
Data Type(s):  View help for Data Type(s) survey data

Methodology

Data Source:  View help for Data Source International Crop Research Institute Semi Arid Tropics (ICRISAT)
Unit(s) of Observation:  View help for Unit(s) of Observation Household,

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