Estimating Working Life Expectancy: A Comparison of Multistate Models

Increases in retirement ages make it particularly pressing to better understand how long people will work. Working life expectancy (WLE) is a useful measure for this and the current paper assesses the tools, that is, software packages, available to assess it. We do this using data from the English Longitudinal Survey on Ageing (ELSA, 2003–2018) and multistate models to estimate WLE stratified by sex and socioeconomic status. Men’s versus women’s WLEs were slightly higher at all ages. Estimates were similar in ELECT and SPACE by both sex and socioeconomic status. WLEs were comparatively higher from IMaCh, ranging from approximately 0.28 to 1.49 years. Life expectancy estimates from IMaCh were also higher compared to SPACE and ELECT. Using multistate models to estimate WLE provides a useful indication of the actual expected length of working life. More research is needed to better understand why estimates from IMaCh differed from ELECT and SPACE.

[1]  Ariane Ophir The Paid and Unpaid Working Life Expectancy at 50 in Europe , 2021, The Journals of Gerontology: Series B.

[2]  J. Spijker,et al.  The contribution of social participation to differences in life expectancy and healthy years among the older population: A comparison between Chile, Costa Rica and Spain , 2021, PloS one.

[3]  D. Weber,et al.  Live longer, retire later? Developments of healthy life expectancies and working life expectancies between age 50–59 and age 60–69 in Europe , 2020, European Journal of Ageing.

[4]  E. Viikari-Juntura,et al.  The influence of occupational class and physical workload on working life expectancy among older employees , 2020, Scandinavian journal of work, environment & health.

[5]  J. Légaré,et al.  Adult Cardiac Surgery During the COVID-19 Pandemic: A Tiered Patient Triage Guidance Statement , 2020, The Annals of Thoracic Surgery.

[6]  S. Solovieva,et al.  High physical work demands and working life expectancy in Denmark , 2020, Occupational and Environmental Medicine.

[7]  Ardo van den Hout,et al.  Estimation of life expectancies using continuous-time multi-state models , 2019, Comput. Methods Programs Biomed..

[8]  N. H. Rod,et al.  Job strain and loss of healthy life years between ages 50 and 75 by sex and occupational position: analyses of 64 934 individuals from four prospective cohort studies , 2018, Occupational and Environmental Medicine.

[9]  M. Myrskylä,et al.  Working Life and Retirement Expectancies at Age 50 by Social Class: Period and Cohort Trends and Projections for Finland , 2018, The journals of gerontology. Series B, Psychological sciences and social sciences.

[10]  M. Myrskylä,et al.  The Length of Working Life in Spain: Levels, Recent Trends, and the Impact of the Financial Crisis , 2018, European journal of population = Revue europeenne de demographie.

[11]  J. Bjorner,et al.  Worklife expectancy in a cohort of Danish employees aged 55–65 years - comparing a multi-state Cox proportional hazard approach with conventional multi-state life tables , 2017, BMC Public Health.

[12]  D. Weber,et al.  Trends in Working Life Expectancy in Europe , 2016, Journal of aging and health.

[13]  D. Dudgeon,et al.  Multistate analysis of interval-censored longitudinal data: application to a cohort study on performance status among patients diagnosed with cancer. , 2011, American journal of epidemiology.

[14]  Christopher H. Jackson,et al.  Multi-State Models for Panel Data: The msm Package for R , 2011 .

[15]  M. Mckee,et al.  Meeting the challenge of population ageing , 2009, BMJ : British Medical Journal.

[16]  Michael D. Giandrea,et al.  Bridge Jobs , 2009 .

[17]  S. Reynolds,et al.  The Impact of Obesity and Arthritis on Active Life Expectancy in Older Americans , 2009, Obesity.

[18]  T. Nurminen,et al.  Multistate worklife expectancies. , 2005, Scandinavian journal of work, environment & health.

[19]  Nicolas Brouard,et al.  THE ESTIMATION OF HEALTH EXPECTANCIES FROM CROSS-LONGITUDINAL SURVEYS , 2003 .

[20]  Douglas A. Wolf,et al.  New Methods for Analyzing Active Life Expectancy , 1998 .

[21]  P. J. van der Maas,et al.  How good is Sullivan's method for monitoring changes in population health expectancies? , 1997, Journal of Epidemiology and Community Health.

[22]  C. Mathers,et al.  How good is Sullivan's method for monitoring changes in population health expectancies? , 1997, Journal of epidemiology and community health.

[23]  Eileen M. Crimmins,et al.  Changing mortality and morbidity rates and the health status and life expectancy of the older population , 1994, Demography.

[24]  W. Grady,et al.  Work and Retirement Among a Cohort of Older Men in the United States, 1966–1983 , 1990, Demography.

[25]  D. Sullivan,et al.  A single index of mortality and morbidity. , 1971, HSMHA health reports.