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Uncertain Lifetime, Life Protection, and the Value of Life Saving


Isaac Ehrlich


State University of New York at Buffalo - Department of Economics; National Bureau of Economic Research (NBER); University of Chicago - University of Chicago Press; Institute for the Study of Labor (IZA)


Journal of Health Economics, Vol. 20, No. 3, pp. 459-460, May 2000

Abstract:     
The analytic innovation is treating life's end as uncertain, and life expectancy as partly the product of individuals' efforts to self-protect against mortality and morbidity risks. The demand for self-protection is modeled in a stochastic, life-cycle framework under alternative insurance options. The model helps explain the trend and systematic diversity in life expectancies across different population groups, as well as the wide variability in reported "value of life saving" estimates. The analysis yields a closed-form solution for individuals' value of life saving that is estimable empirically. It reflects the impacts of specific personal characteristics and alternative insurance options on both life expectancy and its valuation.

Number of Pages in PDF File: 27

Keywords: Life protection; Mortality; Value of life saving

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Date posted: February 7, 2007  

Suggested Citation

Ehrlich, Isaac, Uncertain Lifetime, Life Protection, and the Value of Life Saving. Journal of Health Economics, Vol. 20, No. 3, pp. 459-460, May 2000. Available at SSRN: http://ssrn.com/abstract=961443

Contact Information

Isaac Ehrlich (Contact Author)
State University of New York at Buffalo - Department of Economics ( email )
415 Fronczak Hall
Buffalo, NY 14260
United States
716-645 2121 (Phone)
716-645 2127 (Fax)
HOME PAGE: http://wings.buffalo.edu/economics/ehrlich.htm
National Bureau of Economic Research (NBER) ( email )
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
University of Chicago - University of Chicago Press ( email )
1427 E. 60th Street
Chicago, IL 60637
United States
Institute for the Study of Labor (IZA) ( email )
P.O. Box 7240
Bonn, D-53072
Germany
Feedback to SSRN (Beta)


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