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Interpreting Subjective and Objective Measures of Job Resources: The Importance of Sociodemographic Context

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  • Lauren L. Schmitz

    (Robert M. La Follette School of Public Affairs, University of Wisconsin-Madison, WI 53706, USA)

  • Courtney L. McCluney

    (Darden School of Business, University of Virginia, Charlottesville, VA 22903, USA)

  • Amanda Sonnega

    (Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA)

  • Margaret T. Hicken

    (Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA)

Abstract

Salutary retirement policy depends on a clear understanding of factors in the workplace that contribute to work ability at older ages. Research in occupational health typically uses either self-reported or objective ratings of the work environment to assess workplace determinants of health and work ability. This study assessed whether individual characteristics and work-related demands were differentially associated with (1) self-reported ratings of job resources from older workers in the Health and Retirement Study, and (2) corresponding objective ratings of job resources from the Occupational Information Network (O*NET). Results from regression and relative weights analyses showed that self-reported ratings were associated with self-reported job demands and personal resources, whereas corresponding O*NET ratings were associated with differences in gender, race, or socioeconomic standing. As a result, subjective ratings may not capture important aspects of aging workers’ sociodemographic background that influence work ability, occupational sorting, opportunities for advancement, and ultimately the job resources available to them. Future studies should consider including both subjective and objective measures to capture individual and societal level processes that drive the relationship between work, health, and aging.

Suggested Citation

  • Lauren L. Schmitz & Courtney L. McCluney & Amanda Sonnega & Margaret T. Hicken, 2019. "Interpreting Subjective and Objective Measures of Job Resources: The Importance of Sociodemographic Context," IJERPH, MDPI, vol. 16(17), pages 1-18, August.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:17:p:3058-:d:260245
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    References listed on IDEAS

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    1. Inas Kelly & Dhaval Dave & Jody Sindelar & William Gallo, 2014. "The impact of early occupational choice on health behaviors," Review of Economics of the Household, Springer, vol. 12(4), pages 737-770, December.
    2. Murray, L.R., 2003. "Sick and tired of being sick and tired: Scientific evidence, methods, and research implications for racial and ethnic disparities in occupational health," American Journal of Public Health, American Public Health Association, vol. 93(2), pages 221-226.
    3. Pager, Devah & Western, Bruce & Bonikowski, Bart, 2009. "Discrimination in a Low-Wage Labor Market: A Field Experiment," IZA Discussion Papers 4469, Institute of Labor Economics (IZA).
    4. Eileen M. Crimmins & Jung Ki Kim & Kenneth M. Langa & David R. Weir, 2011. "Assessment of Cognition Using Surveys and Neuropsychological Assessment: The Health and Retirement Study and the Aging, Demographics, and Memory Study," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 66(suppl_1), pages 162-171.
    5. Maxim Poletaev & Chris Robinson, 2008. "Human Capital Specificity: Evidence from the Dictionary of Occupational Titles and Displaced Worker Surveys, 1984-2000," Journal of Labor Economics, University of Chicago Press, vol. 26(3), pages 387-420, July.
    6. Marco Angrisani & Michael D. Hurd & Erik Meijer & Andrew M. Parker & Susann Rohwedder, 2017. "Personality and Employment Transitions at Older Ages: Direct and Indirect Effects through Non-Monetary Job Characteristics," LABOUR, CEIS, vol. 31(2), pages 127-152, June.
    7. Elena Cottini & Claudio Lucifora, 2013. "Mental Health and Working Conditions in Europe," ILR Review, Cornell University, ILR School, vol. 66(4), pages 958-988, July.
    8. Peter B. Meyer & Anastasiya M. Osborne, 2005. "Proposed Category System for 1960-2000 Census Occupations," Working Papers 383, U.S. Bureau of Labor Statistics.
    9. Olga Alonso-Villar & Coral Del Rio & Carlos Gradin, 2012. "The Extent of Occupational Segregation in the United States: Differences by Race, Ethnicity, and Gender," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 51(2), pages 179-212, April.
    10. Schmitz, Lauren L., 2016. "Do working conditions at older ages shape the health gradient?," Journal of Health Economics, Elsevier, vol. 50(C), pages 183-197.
    11. McCluney, Courtney L. & Schmitz, Lauren L. & Hicken, Margaret T. & Sonnega, Amanda, 2018. "Structural racism in the workplace: Does perception matter for health inequalities?," Social Science & Medicine, Elsevier, vol. 199(C), pages 106-114.
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