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  • J. Hirschberg
  • J. Lye
  • D.J. Slottje

Abstract

We study the relationship between group size and the extent of risk sharing in an insurance game played over a number of periods with random idiosyncratic and aggregate shocks to income in each period. Risk sharing is attained via agents that receive a high endowment in one period making unilateral transfers to agents that receive a low endowment in that period. The complete risk sharing allocation is for all agents to place their endowments in a common pool, which is then shared equally among members of the group in every period. Theoretically, the larger the group size, the smaller the per capita dispersion in consumption and greater is the potential value of insurance. Field evidence however suggests that smaller groups do better than larger groups as far as risk sharing is concerned. Results from our experiments show that the extent of mutual insurance is significantly higher in smaller groups, though contributions to the pool are never close to what complete risk sharing requires.

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Bibliographic Info

Paper provided by The University of Melbourne in its series Department of Economics - Working Papers Series with number 954.

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Length: 43 pages
Date of creation: 2005
Date of revision:
Handle: RePEc:mlb:wpaper:954

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Keywords: Reciprocity Risk Sharing Group Size Experiments;

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  1. Byron, R P, 1982. "A Note on the Estimation of Symmetric Systems," Econometrica, Econometric Society, vol. 50(6), pages 1573-75, November.
  2. Suits, Daniel B, 1984. "Dummy Variables: Mechanics v. Interpretation," The Review of Economics and Statistics, MIT Press, vol. 66(1), pages 177-80, February.
  3. Greene, William H & Seaks, Terry G, 1991. "The Restricted Least Squares Estimator: A Pedagogical Note," The Review of Economics and Statistics, MIT Press, vol. 73(3), pages 563-67, August.
  4. Suits, Daniel B & Mason, Andrew & Chan, Louis, 1978. "Spline Functions Fitted by Standard Regression Methods," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 132-39, February.
  5. Dallas S. Batten & Daniel L. Thornton, 1983. "Polynomial distributed lags and the estimation of the St. Louis equation," Review, Federal Reserve Bank of St. Louis, issue Apr, pages 13-25.
  6. Griffiths, William E. & O'Donnell, Christopher J. & Cruz, Agustina Tan, 1999. "Imposing Regularity Conditions On A System Of Cost And Factor Share Equations," Working Papers 12925, University of New England, School of Economics.
  7. Christensen, Laurits R & Greene, William H, 1976. "Economies of Scale in U.S. Electric Power Generation," Journal of Political Economy, University of Chicago Press, vol. 84(4), pages 655-76, August.
  8. Huang, Kuo S & Haidacher, Richard C, 1983. "Estimation of a Composite Food Demand System for the United States," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(4), pages 285-91, October.
  9. Bing-Huei Lin, 2002. "Fitting term structure of interest rates using B-splines: the case of Taiwanese Government bonds," Applied Financial Economics, Taylor & Francis Journals, vol. 12(1), pages 57-75.
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Cited by:
  1. J.G. Hirschberg & J. N. Lye, 2007. "Providing Intuition to the Fieller Method with Two Geometric Representations using STATA and Eviews," Department of Economics - Working Papers Series 992, The University of Melbourne.

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