Causes, Correlates and Consequences of Death Among Older Adults: Some Methodological Approaches and Substantive Analyses
Jere R. Behrman, Professor Jere R Behrman, Robin Sickles, Reginald Henry Hargrove Chair and Professor of Economics Robin C Sickles, Paul Taubman
Springer Science & Business Media, Sep 30, 1998 - Business & Economics - 186 pages
All humans eventually die, but life expectancies differ over time and among different demographic groups. Teasing out the various causes and correlates of death is a challenge, and it is one we take on in this book. A look at the data on mortality is both interesting and suggestive of some possible relationships. In 1900 life expectancies at birth were 46. 3 and 48. 3 years for men and women respectively, a gender differential of a bit less than 5 percent. Life expectancies for whites then were about 0. 3 years longer than that of the whole population, but life expectancies for blacks were only about 33 years for men and women. At age 65, the remaining life expectancies were about 12 and 11 years for whites and blacks respectively. Fifty years later, life expectancies at birth had grown to 66 and 71 years for males and females respectively. The percentage differential between the sexes was now almost up to 10 percent. The life expectancies of whites were about one year longer than that for the entire population. The big change was for blacks, whose life expectancy had grown to over 60 years with black females living about 5 percent longer than their male counterparts. At age 65 the remaining expected life had increased about two years with much larger percentage gains for blacks.
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activity allow analysis associated assume assumptions average behavior benefits birth cohorts blacks born calculated censoring changes chapter characteristics choice coefficients cohort conditional consider consumption covariates death rates demand dependence differences differential distribution Dorn Sample duration earnings Economic effects estimates examine example expected factors females given greater Hazard Functions hazard model heads of household heterogeneity higher impact important income increase Index indicate individuals Journal less Likelihood Live males marital status Maximum measures methods mortality MPLE never married noted observed occupation parameter pension percent period physical points present probability problem production proportional hazard random rates of return records relative retirement risk significant simulated smoking Social Security specification spouse standard statistically studies Survey Table taxes paid Tobacco unobserved heterogeneity utility variables whites widowed women
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