Showing 1 - 8 of 8
Persistent link: https://www.econbiz.de/10001635069
Sex differences in mortality (SDIM) vary over time and place as a function of social, health, and medical circumstances. The magnitude of these variations, and their response to large socioeconomic changes, suggest that biological differences cannot fully account for sex differences in survival....
Persistent link: https://www.econbiz.de/10012981459
This paper examines 313 U.S. areas for differences in medical care utilization and mortality of whites ages 65-84 in 1990. The variables included in the analysis are education, real income, cigarette sales, obesity, air pollution, percent black, and dummy variables for seven regions and five...
Persistent link: https://www.econbiz.de/10012470088
Life expectancy at birth, estimated from United States period life tables, has been shown to vary systematically and widely by region and race. We use the same tables to estimate the probability of survival from birth to age 70 (S70), a measure of mortality more sensitive to disparities and more...
Persistent link: https://www.econbiz.de/10012460757
The share of increases in life expectancy realized after age 65 was only about 20 percent at the beginning of the 20th century for the US and 16 other countries at comparable stages of development; but that share was close to 80 percent by the dawn of the 21st century, and is almost certainly...
Persistent link: https://www.econbiz.de/10014168637
Life expectancy at birth, estimated from United States period life tables, has been shown to vary systematically and widely by region and race. We use the same tables to estimate the probability of survival from birth to age 70 (S70), a measure of mortality more sensitive to disparities and more...
Persistent link: https://www.econbiz.de/10013108048
Sex differences in mortality (SDIM) vary over time and place as a function of social, health, and medical circumstances. The magnitude of these variations, and their response to large socioeconomic changes, suggest that biological differences cannot fully account for sex differences in survival....
Persistent link: https://www.econbiz.de/10013023686
This paper examines 313 U.S. areas for differences in medical care utilization and mortality of whites ages 65-84 in 1990. The variables included in the analysis are education, real income, cigarette sales, obesity, air pollution, percent black, and dummy variables for seven regions and five...
Persistent link: https://www.econbiz.de/10013249539