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Centre for Policy on Ageing | |
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The impact of health and education on future labour force participation among individuals aged 55-74 in the United States of America the MacArthur Foundation Research Network on an Aging Society | Author(s) | David H Rehkopf, Nancy E Adler, John W Rowe |
Journal title | Ageing and Society, vol 37, no 7, August 2017 |
Publisher | Cambridge University Press, August 2017 |
Pages | pp 1313-1337 |
Source | cambridge.org/aso |
Keywords | Employment of older people ; Labour economics ; Employment ; Ill health ; Self care capacity ; Mobility ; Education ; Economic status [elderly] ; Correlation ; United States of America. |
Annotation | Chronic disease, mobility limitations and low physical functioning are determinants of an earlier age of retirement. Therefore, long-term population trends in relation to these factors may have an impact on the proportion of individuals near usual retirement age who continue to work. The authors aim was to develop a projection model that accounts for trends in these factors, in order to estimate the proportion of the population aged 55-74 with the capacity to participate in the labour force. They used logistic regression models to quantify how chronic disease, mobility and functional status predict labour force participation among individuals aged 55-59. Next, they obtained estimates of the population prevalence of each of these predictors for the years 2010-2050. They then used estimated coefficients from the logistic regression models to predict the age-specific probability of capacity for work up to the age of 74. They find that population capacity for work depends on trends in disability and on level of education. Future population capacity for work depends on trends in functional limitations, primarily in the population with lower levels of education. Changes in functional limitations, in the environment, technology and social policy targeted towards individuals with lower levels of education could result in mitigation of future decreasing capacity for work in the population near retirement age. (RH). |
Accession Number | CPA-170721002 A |
Classmark | GC: WH: WJ: CH: CA: C4: V: F:W: 49: 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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