The influence of subjective life expectancy on retirement transition and planning: A longitudinal study

Griffin, Barbara; Hesketh, Beryl; Loh, Vanessa

doi:10.1016/j.jvb.2012.05.005

Cited by 89 publications

(68 citation statements)

References 41 publications

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“…The same holds for the estimated global life expectancy distribution (Figure 2 in Appendix A). Several reasons, like changes in selfreported health [2] or perceived health conditions, might explain these differences.…”

Section: The Self-assessed Life Expectancy Functionmentioning

confidence: 99%

“…Studies using subjective life expectancy (SLE) as a measure of longevity have stressed that SLE is an important determinant of changes in labor supply, health, and consumption behaviors [1][2][3].…”

mentioning

confidence: 99%

“…Subjective life expectancy determines the intended retirement age [1] and the way older workers prepare for their retirement [2]. There is evidence that older workers take into consideration subjective life expectancy in their decision to postpone retirement [2]. Even among retirees, subjective life expectancy affects the decision to return to paid work [2].…”

mentioning

confidence: 99%

“…There is evidence that older workers take into consideration subjective life expectancy in their decision to postpone retirement [2]. Even among retirees, subjective life expectancy affects the decision to return to paid work [2]. Furthermore, subjective life expectancy has been shown to affect health self-regulation [3].…”

mentioning

confidence: 99%

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A Study on Self-Assessed Life Expectancy Among Older Adults in Côte d’Ivoire

Moussa¹,

Diaby²

2020

Preprint

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Background: The purpose of this study was to estimate individuals’ expected longevity based on self-assessed survival probabilities and determine the predictors of such subjective life expectancy in a sample of elderly people in Côte d’Ivoire.Methods: Paper-based questionnaires were administered to a sample (n=267) of older adults residing in the city of Dabou, Côte d’Ivoire in May 2017. Information on subjective expectations regarding health, comorbidities, and self-assessed survival probabilities were collected. The subjective expectations were related to sociodemographic, health and lifestyle indicators. A spline-based approach was used to estimate the overall distribution of life expectancy for each individual using two to four points of self-assessed survival probabilities. A finite mixture of regression models was used to identify clusters/components of the overall subjective life expectancy distribution of the study participants. Results: The mean subjective life expectancy in older people varied according to four components/clusters. The average subjective life expectancy among the elderly was 79.51, 78.89, 80.02 and 77.79 years in the first, second, third and fourth component of the subjects' overall subjective life expectancy, respectively. The effect of sociodemographic characteristics, comorbidities, and lifestyle on subjective life expectancy varied across components. For instance, a U-shape relationship between household per capita income and subjective life expectancy was found for individuals classified into the third component, and an inverse U-shape relationship was found for individuals classified into the fourth component.Conclusion: We extended the estimation of subjective life expectancy by accounting for heterogeneity in the distribution of the estimated subjective life expectancy. This approach improved the usual methods for estimating individual subjective life expectancies and may provide insight into the elderly’s perception of aging, which could be used to forecast the demand for health services and long-term care needs.

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Section: The Self-assessed Life Expectancy Functionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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A Study on Self-Assessed Life Expectancy Among Older Adults in Côte d’Ivoire

Moussa¹,

Diaby²

2020

Preprint

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“…Griffin, Hesketh, & Loh, 2012). The main focus of this research has been SLE in late 1950s and there remains a relative lack of information regarding the relationship between SLE and the behaviour of younger people.…”

Section: Adolescent Alcohol Usementioning

confidence: 99%

The relationship between subjective life expectancy and self-reported alcohol use in Northern Irish adolescents

McKay

2013

Drugs: Education, Prevention and Policy

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Aims: This study examined the relationship between subjective life expectancy (the subjective probability of living to age 75 years) and sex, type of school attended, year in school and self-reported adolescent drinking behaviours. Design: The study employed a cross-sectional design. Methods: Participants were school children (aged 11-16 years) from post-primary (high) schools in Northern Ireland. Participants completed a questionnaire, including an assessment of subjective life expectancy, alcohol use and demographic measures. Results: In bivariate analyses, there were significant differences in subjective life expectancy and sex, year in school, type of school attended and selfreported relationship with alcohol. Results of multinomial logistic regression, controlling for clustering at school level and socio-demographic measures, showed that more problematic drinking was significantly associated with a reduced life expectancy. Therefore, individual perceptions of subjective life expectancy accounted for some of the variance in problematic drinking above and beyond that predicted by socio-demographic factors. Conclusion: Although there was an observed association between subjective life expectancy and selfreported alcohol use, future longitudinal research could assess the degree to which future time perspective predicts initiation into alcohol use and escalation into more problematic use among adolescents.Correspondence: M. T.

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Person–Environment Fit

Hesketh

Griffin

2015

The Encyclopedia of Adulthood and Aging

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Person–Environment fit theory and research has been applied to many areas of organizational behavior such as career and job choice, selection, human factors, training, work commitment, turnover, and retirement transition. Approaches include obtaining separate measures of the person and the environment (atomistic approach), perceived discrepancies between the person and the environment (mechanistic approach), and direct estimates of subjective fit (molar approach). Studies variously focus on needs–supplies fit, abilities–demands fit, and supplementary and complementary fit. Fit theories most relevant to late‐career development and transition have emerged from the field of vocational psychology. Summaries are provided of several models including the theory of work adjustment (Dawis & Lofquist, 1984) and its application to retirement transition. Methodological issues are discussed, and ideas suggested for future research.

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The influence of subjective life expectancy on retirement transition and planning: A longitudinal study

Cited by 89 publications

References 41 publications

A Study on Self-Assessed Life Expectancy Among Older Adults in Côte d’Ivoire

A Study on Self-Assessed Life Expectancy Among Older Adults in Côte d’Ivoire

The relationship between subjective life expectancy and self-reported alcohol use in Northern Irish adolescents

Person–Environment Fit

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