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      Occupation-Based Life Expectancy: Actuarial Fairness in Determining Statutory Retirement Age

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          Abstract

          This study examines occupation-based differences in life expectancy and the extent to which health accounts for these differences. Twentyseven-year survival follow-up data were used from the Dutch population-based Longitudinal Aging Study Amsterdam ( n = 2,531), initial ages 55–85 years. Occupation was based on longest-held job. Results show that the non-skilled general, technical and transport domains had an up to 3.5-year shorter life expectancy than the academic professions, accounting for the compositional characteristics age and gender. Statutory retirement age could be made to vary accordingly, by allowing a proportionally greater pension build-up in the shorter-lived domains. Health accounted for a substantial portion of the longevity difference, ranging from 20 to 66%, depending on the health indicator. Thus, health differences between occupational domains today can be used as a means to tailor retirement ages to individuals’ risks of longevity. These data provide a proof of principle for the development of an actuarially fair method to determine statutory retirement ages.

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          Most cited references55

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          Logistic Regression: Why We Cannot Do What We Think We Can Do, and What We Can Do About It

          C. Mood (2010)
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            Self-reports and general practitioner information on the presence of chronic diseases in community dwelling elderly. A study on the accuracy of patients' self-reports and on determinants of inaccuracy.

            The object of the study is to investigate the (in)accuracy of patients' self-reports, as compared with general practitioners' information, regarding the presence of specific chronic diseases, and the influence of patient characteristics. Questionnaire data of 2380 community-dwelling elderly patients, aged 55-85 years, on the presence of chronic non-specific lung disease, cardiac disease, peripheral atherosclerosis, stroke, diabetes, malignancies, and osteoarthritis/rheumatoid arthritis were compared with data from the general practitioners, using the kappa-statistic. Associations between the accuracy of self-reports and patient characteristics were studied by multiple logistic regression analyses. Kappa's ranged from 0.30 to 0.40 for osteoarthritis/rheumatoid arthritis and atherosclerosis, to 0.85 for diabetes mellitus. In the multivariate analyses, educational level, level of urbanization, deviations in cognitive function, and depressive symptomatology had no influence on the level of accuracy. An influence of gender, age, mobility limitations, and recent contact with the general practitioner was shown for specific diseases. For chronic non-specific lung disease, both "underreporting" and "overreporting" are more prevalent in males, compared to females. Furthermore, males tend to overreport stroke and underreport malignancies and arthritis, whereas females tend to overreport malignancies and arthritis. Both overreporting and underreporting of cardiac disease are more prevalent as people are older. Also, older age is associated with overreporting of stroke, and with underreporting of arthritis. The self-reported presence of mobility limitations is associated with overreporting of all specific diseases studied, except for diabetes mellitus, and its absence is associated with underreporting, except for diabetes mellitus and atherosclerosis. Recent contact with the general practitioner is associated with overreporting of cardiac disease, atherosclerosis, malignancies and arthritis, and with less frequent underreporting of diabetes and arthritis. Results suggest that patients' self-reports on selected chronic diseases are fairly accurate, with the exceptions of atherosclerosis and arthritis. The associations found with certain patient characteristics may be explained by the tendency of patients to label symptoms, denial by the patient, or inaccuracy of medical records.
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              Understanding the effect of retirement on health: Mechanisms and heterogeneity.

              This paper investigates the mechanisms behind the health effects of retirement. Using a Regression Discontinuity Design to exploit financial incentives in the German pension system for identification, I find that retirement improves subjective health status and mental health, while also reducing outpatient care utilization. I explore a wide range of health behaviors, time use, and effect heterogeneity as potential mechanisms. Relief from work-related stress and strain, increased sleep duration as well as more frequent physical exercise seem to be key mechanisms through which retirement affects health.
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                Author and article information

                Contributors
                Journal
                Front Sociol
                Front Sociol
                Front. Sociol.
                Frontiers in Sociology
                Frontiers Media S.A.
                2297-7775
                23 August 2021
                2021
                : 6
                : 675618
                Affiliations
                [ 1 ]Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
                [ 2 ]Centre for Comparative Welfare Studies, Aalborg University, Aalborg, Denmark
                Author notes

                Edited by: Moritz Hess, Hochschule Niederrhein, Germany

                Reviewed by: Elias Naumann, Harvard University, United States

                Aart-Jan Riekhoff, Finnish Centre for Pensions (ETK), Finland

                *Correspondence: Dorly J.H. Deeg, djh.deeg@ 123456amsterdamumc.nl

                This article was submitted to Work, Employment and Organizations, a section of the journal Frontiers in Sociology

                Article
                675618
                10.3389/fsoc.2021.675618
                8419329
                34497844
                ba7ba909-db0c-496d-adf2-6c641e504e8b
                Copyright © 2021 Deeg, De Tavernier and de Breij.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 03 March 2021
                : 05 August 2021
                Funding
                Funded by: Network for Studies on Pensions, Aging and Retirement 10.13039/100009583
                Categories
                Sociology
                Original Research

                retirement age,occupation,longevity,health,longitudinal study

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