Predictors of Mortality Among the Elderly

29 Pages Posted: 10 Feb 2000 Last revised: 2 May 2021

See all articles by Michael D. Hurd

Michael D. Hurd

RAND Corporation; State University of New York at Stony Brook - College of Arts and Science - Department of Economics; National Bureau of Economic Research (NBER)

Daniel L. McFadden

University of California, Berkeley - Department of Economics; National Bureau of Economic Research (NBER)

Angela Merrill

University of California, Berkeley

Date Written: December 1999

Abstract

The objective of this paper is to find the quantitative importance of some predictors of mortality among the population aged 70 or over. The predictors are socio-economic indicators (income, wealth and education), thirteen health indicators including a history of heart attack or cancer, and subjective probabilities of survival. The estimation is based on mortality between waves 1 and 2 of the Asset and Health Dynamics among the Oldest-Old study. We find that the relationship between socio-economic indicators and mortality declines with age 13 health indicators are strong predictors of mortality and that the subjective survival probabilities predict mortality even after controlling for socio-economic indicators and the health conditions.

Suggested Citation

Hurd, Michael D. and McFadden, Daniel L. and Merrill, Angela, Predictors of Mortality Among the Elderly (December 1999). NBER Working Paper No. w7440, Available at SSRN: https://ssrn.com/abstract=202412

Michael D. Hurd (Contact Author)

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State University of New York at Stony Brook - College of Arts and Science - Department of Economics ( email )

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Daniel L. McFadden

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Angela Merrill

University of California, Berkeley ( email )

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