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The effects of job characteristics on retirement

Published online by Cambridge University Press:  11 February 2020

Péter Hudomiet ,
Michael D. Hurd ,
Andrew M. Parker  and
Susann Rohwedder
Péter Hudomiet
Affiliation:
RAND Corp, 1776 Main Street, Santa Monica, CA, USA
Michael D. Hurd
Affiliation:
RAND Corp, 1776 Main Street, Santa Monica, CA, USA NBER, 1050 Massachusetts Ave., Cambridge, MA, USA NETSPAR, P.O. Box 90153, 5000 LE Tilburg, The Netherlands
Andrew M. Parker
Affiliation:
RAND Corp Pittsburgh, Pittsburgh, PA, USA
Susann Rohwedder*
Affiliation:
RAND Corp, 1776 Main Street, Santa Monica, CA, USA NETSPAR, P.O. Box 90153, 5000 LE Tilburg, The Netherlands
*
*Corresponding author. Email: [email protected]
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Abstract

Along with data about actual, desired, and anticipated job characteristics, this paper uses a novel data element, the subjective conditional probability of working at age 70, to estimate the causal effects of job characteristics on retirement in the United States. Having flexible work hours is the most consistent predictor of retirement preferences and expectations: if all current workers had flexible hours, the fraction working at age 70 would be 0.322, but it would be just 0.172 if none had this option. Job stress, physical, and cognitive job demands, the option to telecommute, and commuting times were additional predictors of retirement expectations.

Keywords

Retirement expectationsstated preferencessubjective probabilitiesworking conditionsJ14J24J26
Type
Article
Information
Journal of Pension Economics & Finance , Volume 20 , Special Issue 3: Retirement Decisions in a Changing Labor Market , July 2021 , pp. 357 - 373
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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References

Ameriks, J, Briggs, J, Caplin, A, Lee, M, Shapiro, MD and Tonetti, C (2020) Older Americans would work longer if jobs were flexible. American Economic Journal: Macroeconomics 12, 174–209.Google Scholar
Baird, MD and Pollard, M (2017) The RAND American Life Panel: Technical Description. RAND Report RR-1651. Santa Monica: RAND Corporation.CrossRefGoogle Scholar
Barnes-Farrell, JL (2003) Beyond health and wealth: Attitudinal and other influences on retirement decision-making. In Adams, GA and Beehr, TA (eds), Retirement: Reasons, Processes, and Results. New York, NY: Springer, pp. 159–187.Google Scholar
Beehr, TA and Bennett, MM (2015) Working after retirement: features of bridge employment and research directions. Work, Aging and Retirement 1, 112–128.CrossRefGoogle Scholar
Belbase, A, Sanzenbacher, GT and Gillis, CM (2016) How Do Job Skills that Decline with Age Affect White-collar Workers? CRC Issue Brief 16-6. Boston: Center for Retirement Research.Google Scholar
Blundell, R, French, E and Tetlow, G (2016) Retirement incentives and labor supply. In Piggott, J and Woodland, A (eds), Handbook of the Economics of Population Aging. Amsterdam, NL: Elsevier, pp. 457–558.Google Scholar
Böckerman, P and Ilmakunnas, P (In press) Do good working conditions make you work longer? Analyzing retirement decisions using linked survey and register data. The Journal of the Economics of Ageing. https://doi.org/10.1016/j.jeoa.2019.02.001.Google Scholar
Borghans, L, Duckworth, AL, Heckman, JJ and Ter Weel, B (2008) The economics and psychology of personality traits. Journal of Human Resources 43, 972–1059.CrossRefGoogle Scholar
Börsch-Supan, A and Winter, J (2004) How to make internet surveys representative: a case study of a two-step weighting procedure. MEA Discussion Paper No. 04067.Google Scholar
Bound, J, Cullen, J, Nichols, A and Schmidt, L (2004) The welfare implications of changing disability insurance benefit generosity. Journal of Public Economics 88, 2487–2514.CrossRefGoogle Scholar
Bound, J, Stinebrickner, T and Waidmann, T (2010) Health, economic resources and the work decisions of older men. Journal of Econometrics 156, 106–129.CrossRefGoogle ScholarPubMed
Feldman, DC and Beehr, TA (2011) A three-phase model of retirement decision-making. American Psychologist 66, 193–203.CrossRefGoogle ScholarPubMed
Fisher, GG, Chaffee, DS and Sonnega, A (2016) Retirement timing: a review and recommendations for future research. Work, Aging and Retirement 2, 230–261.CrossRefGoogle Scholar
Fisher, GG, McArdle, JJ, McCammon, RJ, Sonnega, A and Weir, D (2013) New Measures of Fluid Intelligence in the HRS. HRS Documentation Report: DR-027. Ann Arbor: Survey Research Center.Google Scholar
French, E and Jones, JB (2011) The effects of health insurance and self-insurance on retirement behavior. Econometrica 79, 693–732.Google Scholar
Gruber, J and Wise, DA (eds) (2004) Social Security Programs and Retirement Around the World: Micro-Estimation. Chicago: University of Chicago Press.Google Scholar
Gustman, AL and Steinmeier, TL (2005) The social security early entitlement age in a structural model of retirement and wealth. Journal of Public Economics 89, 441–463.CrossRefGoogle Scholar
Hudomiet, P, Hurd, M, Rohwedder, S and Willis, RJ (2018a) The Effect of Physical and Cognitive Decline at Older Ages on Work and Retirement: Evidence from Occupational Job Demands and Job Mismatch. MRDRC WP 2017-372.CrossRefGoogle Scholar
Hudomiet, P, Hurd, M and Rohwedder, S (2018b) The causal effects of economic incentives, health and job characteristics on retirement: estimates based on subjective conditional probabilities. 2018 Working Longer and Retirement Conference, October 2018, Palo Alto, CA.CrossRefGoogle Scholar
Hudomiet, P, Parker, AM and Rohwedder, S (2018c) Cognitive ability, personality, and pathways to retirement: an exploratory study. Work, Aging and Retirement 4, 52–66.CrossRefGoogle Scholar
John, OP and Srivastava, S (1999) The Big five trait taxonomy: History, measurement and theoretical perspectives. In Pervin, LA and John, OP (eds), Handbook of Personality: Theory and Research. New York, NY: The Guilford Press, pp. 102–138.Google Scholar
Katz, LF and Krueger, AB (2016) The Rise and Nature of Alternative Work Arrangements in the United States, 1995–2015. NBER WP 22667.CrossRefGoogle Scholar
Maestas, N, Mullen, K and Strand, A (2013) Does disability insurance receipt discourage work? Using examiner assignment to estimate causal effects of SSDI receipt. American Economic Review 103, 1797–1829.CrossRefGoogle Scholar
Maestas, N, Mullen, K, Powell, D, von Wachter, T and Wenger, J (2018) The Value of Working Conditions in the United States and Implications for the Structure of Wages. NBER WP 25204.CrossRefGoogle Scholar
Mather, M, Jacobsen, LA and Pollard, KM (2015) Aging in the United States. Population Reference Bureau.Google Scholar
McArdle, JJ, Smith, JP and Willis, RJ (2009) Cognition and Economic Outcomes in the Health and Retirement Survey. NBER WP 15266.CrossRefGoogle Scholar
Morgeson, FP and Humphrey, SE (2006) The work design questionnaire (WDQ): developing and validating a comprehensive measure for assessing Job design and the nature of work. Journal of Applied Psychology 91, 1321–1339.CrossRefGoogle Scholar
Salthouse, T (2012) Consequences of age-related cognitive declines. Annual Review of Psychology 63, 201–226.CrossRefGoogle ScholarPubMed
Smith, J, Fisher, G, Ryan, L, Clarke, P, House, J and Weir, D (2013) Psychosocial and Lifestyle Questionnaire, 2006–2010 (Documentation Report, Core Section LB). Ann Arbor: Institute for Social Research. Available at http://hrsonline.isr.umich.edu/sitedocs/userg/HRS2006-2010SAQdoc.pdf (Accessed 20 September 2015).Google Scholar
Spirduso, WW, Francis, KL and MacRae, PG (eds) (2005) Physical Dimensions of Aging. Champaign: Human Kinetics.Google Scholar
Van Soest, A, Kapteyn, A and Zissimopoulos, J (2007) Using stated preferences data to analyze preferences for full and partial retirement. IZA Discussion Paper 2785.Google Scholar
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