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Insurance and Rural Welfare: What can Panel Data tell us?

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Author Info
Chris Elbers () (Vrije Universiteit Amsterdam)
Jan Willem Gunning () (Vrije Universiteit Amsterdam)
Lei Pan () (Vrije Universiteit Amsterdam)

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Abstract

Assessing the scope for insurance in rural communities usually requires a structural model of household behavior under risk. One of the few empirical applications of such models is the study by Rosenzweig and Wolpin (1993) who conclude that Indian farmers in the ICRISAT villages would not benefit from the introduction of formal weather insurance. In this paper we investigate how models such as theirs can be estimated from panel data on production and assets. We show that if assets can take only a limited number of values the coefficients of the model cannot be estimated with reasonable precision. We also show that this can affect the conclusion that insurance would not be welfare improving.

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Publisher Info
Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 07-011/2.

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Date of creation: 26 Jan 2007
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Handle: RePEc:dgr:uvatin:20070011

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Related research
Keywords: Structural estimation; discrete choices; insurance;

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Find related papers by JEL classification:
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
D91 - Microeconomics - - Intertemporal Choice and Growth - - - Intertemporal Consumer Choice; Life Cycle Models and Saving

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References listed on IDEAS
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  1. Chris Elbers & Jan Willem Gunning, 2002. "Growth Regression and Economic Theory," Tinbergen Institute Discussion Papers 02-034/2, Tinbergen Institute. [Downloadable!]
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  2. Chris Elbers & Jan Willem Gunning & Bill Kinsey, 2007. "Growth and Risk: Methodology and Micro Evidence," World Bank Economic Review, Oxford University Press, vol. 21(1), pages 1-20.
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  3. Maitra, Pushkar, 2001. "Is Consumption Smooth at the Cost of Volatile Leisure? An Investigation of Rural India," Applied Economics, Taylor and Francis Journals, vol. 33(6), pages 727-34, May. [Downloadable!] (restricted)
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