A Comparison of Subjective and Objective Job Demands and Fit With Personal Resources as Predictors of Retirement Timing in a National U.S. Sample

Datos Bibliográficos

ID13017992
AutoresAmanda Sonnega (0000-0003-4401-0078, University of Michigan, autor de correspondencia), Brooke Helppie‐McFall (0000-0002-1651-9419, SoundRocket (United States)), Brooke Helppie-McFall, Péter Hudomiet (0000-0002-5003-3236, RAND Corporation), Robert J Willis (University of Michigan), Gwenith G Fisher (0000-0002-7063-0986, Colorado State University)
EditoresMo Wang (0000-0001-7004-3549)
Año2017
Volumen4
Número1
Páginas37-51
Fecha de publicación2017-06-14
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaWork Aging and Retirement (JOURNAL)
Identificadores de la revistaISSN: 2054-4650 • E-ISSN: 2054-4650
EditorialOxford University Press (OUP) (PUBLISHER)
DOI10.1093/workar/wax016
PMID29270302
OpenAlexW2697630993
IdiomaEN
Citas recibidas10
Referencias citadas40

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

Cognition · Environmental health · Health and Retirement Study · Population · Predictive power · Sample (material · Work (physics · Aging and Gerontology Research · Employment and Welfare Studies · Engineering · Medicine · Psychology · Retirement, Disability, and Employment · Applied Psychology · Gerontology