A Comparison of Subjective and Objective Job Demands and Fit with Personal Resources as Predictors of Retirement Timing in a National U.S. Sample
| Autor: | Robert J. Willis, Gwenith G. Fisher, Brooke Helppie-McFall, Péter Hudomiet, Amanda Sonnega |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Organizational Behavior and Human Resource Management
Population ageing Sociology and Political Science ComputingMilieux_THECOMPUTINGPROFESSION 05 social sciences Economics Econometrics and Finance (miscellaneous) Sample (statistics) Cognition Health and Retirement Study Article 0502 economics and business Industrial relations Predictive power 050207 economics Geriatrics and Gerontology Life-span and Life-course Studies Psychology Social psychology Practical implications 050203 business & management |
| Popis: | Population aging and attendant pressures on public budgets have spurred considerable interest in understanding factors that influence retirement timing. A range of sociodemographic and economic characteristics predict both earlier and later retirement. Less is known about the role of job characteristics on the work choices of older workers. Researchers are increasingly using the subjective ratings of job characteristics available in the Health and Retirement Study in conjunction with more objective measures of job characteristics from the Occupational Information Network (O*NET) database. Employing a theoretically-informed model of job demands-personal resources fit, we constructed mismatch measures between resources and job demands (both subjectively and objectively assessed) in physical, emotional, and cognitive domains. When we matched comparable measures across the two data sources in the domains of physical, emotional, and cognitive job demands, we found that both sources of information held predictive power in relation to retirement timing. Physical and emotional but not cognitive mismatch were associated with earlier retirement. We discuss theoretical and practical implications of these findings and directions for future research. |
| Databáze: | OpenAIRE |
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