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Centre for Policy on Ageing | |
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| New methods for analyzing active life expectancy | | Author(s) | Sarah B Laditka, Douglas A Wolf |
| Journal title | Journal of Aging and Health, vol 10, no 2, May 1998 |
| Pages | pp 214-241 |
| Keywords | Health [elderly] ; Physical disabilities ; Mobility ; Quality of life ; Life expectancy tables ; Measurement ; Longitudinal surveys ; United States of America. |
| Annotation | The increment-decrement life-table methods used in several recent analyses of active life expectancy depend on parameters representing rates of movement between functional states such as "active" or "disabled". Available data often pose severe problems for the derivation of these parameters. For instance, panel-survey data typically fail to record functional status between interviews. The time intervals also tend to vary across respondents. The Longitudinal Study of Aging, used in this US study exhibits these problems. The authors develop a discrete-time Markov chain model of functional status dynamics that accommodates these features of the data and present maximum likelihood estimates of the model. A new technique for the calculation of active life expectancy is also introduced: micro-simulation of functional status histories. This technique permits the derivation of several new indexes of late life-course outcomes. (AKM). |
| Accession Number | CPA-980721405 A |
| Classmark | CC: BN: C4: F:59: S7: 3R: 3J: 7T |
Data © Centre for Policy on Ageing |
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| ...from the Ageinfo database published by Centre for Policy on Ageing. |
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