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Active life expectancy estimates for the U.S. elderly population: A multidimensional continuous-mixture model of functional change applied to completed Cohorts, 1982–1996

Overview of attention for article published in Demography, August 2000
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Title
Active life expectancy estimates for the U.S. elderly population: A multidimensional continuous-mixture model of functional change applied to completed Cohorts, 1982–1996
Published in
Demography, August 2000
DOI 10.2307/2648040
Pubmed ID
Authors

Kenneth G. Manton, Kenneth C. Land

Abstract

An increment-decrement stochastic-process life table model that continuously mixes measures of functional change is developed to represent age transitions among highly refined disability states interacting simultaneously with mortality. The model is applied to data from the National Long Term Care Surveys of elderly persons in the years 1982 to 1996 to produce active life expectancy estimates based on completed-cohort life tables. At ages 65 and 85, comparisons with extant period estimates for 1990 show that our active life expectancy estimates are larger for both males and females than are extant period estimates based on coarse disability states.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Germany 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 18%
Researcher 6 18%
Professor 4 12%
Student > Master 3 9%
Student > Bachelor 2 6%
Other 8 24%
Unknown 5 15%
Readers by discipline Count As %
Social Sciences 14 41%
Medicine and Dentistry 5 15%
Mathematics 2 6%
Nursing and Health Professions 2 6%
Economics, Econometrics and Finance 1 3%
Other 3 9%
Unknown 7 21%