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How Do Working-Age People With Disabilities Spend Their Time? New Evidence From the American Time Use Survey

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  • Priyanka Anand
  • Yonatan Ben-Shalom

Abstract

We use the American Time Use Survey to examine the extent to which adults with disabilities—defined using both the new six-question sequence on disability and the traditional work-limitation question—spend more time on health-related activities and less time on other activities than those without disabilities. We find that men and women who both reported a work limitation and responded “yes” to any of the questions in the six-question disability sequence spend approximately 40 to 50 more minutes per week, respectively, on health-related activities. We also find that most working-age men and women who report a disability work fewer hours per day than men and women without disabilities. The largest difference is for men and women who report both types of disability; these individuals spend, on average, 5 fewer hours per day in paid work than men and women without disabilities. On average, most of the decrease in paid work time is offset by more time spent on leisure activities (defined as activities that provide direct utility, such as entertainment, social activities, attending recreational events, and general relaxation) and sleeping, which is likely due to these being default activities for individuals whose medical issues and environment constrain them from participating in other activities. Copyright Population Association of America 2014

Suggested Citation

  • Priyanka Anand & Yonatan Ben-Shalom, 2014. "How Do Working-Age People With Disabilities Spend Their Time? New Evidence From the American Time Use Survey," Demography, Springer;Population Association of America (PAA), vol. 51(6), pages 1977-1998, December.
  • Handle: RePEc:spr:demogr:v:51:y:2014:i:6:p:1977-1998
    DOI: 10.1007/s13524-014-0336-3
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    1. Bruce Meyer & Wallace K. C. Mok, 2016. "Disability, Earnings, Income and Consumption," NBER Chapters, in: Social Insurance Programs (Trans-Atlantic Public Economics Seminar, TAPES), National Bureau of Economic Research, Inc.
    2. Grossman, Michael, 2000. "The human capital model," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 7, pages 347-408, Elsevier.
    3. David Stapleton & Todd Honeycutt & Bruce Schechter, "undated". "Out of Sight, Out of Mind: Including Group Quarters Residents with Household Residents Can Change What We Know About Working-Age People with Disabilities," Mathematica Policy Research Reports 9b7ed3dde614421483ebcf847, Mathematica Policy Research.
    4. Mark Aguiar & Erik Hurst, 2007. "Measuring Trends in Leisure: The Allocation of Time Over Five Decades," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 969-1006.
    5. Judith E. Brown & Peter K. Dunn, 2011. "Comparisons of Tobit, Linear, and Poisson-Gamma Regression Models," Sociological Methods & Research, , vol. 40(3), pages 511-535, August.
    6. David Stapleton & Todd Honeycutt & Bruce Schechter, 2012. "Out of Sight, Out of Mind: Including Group Quarters Residents With Household Residents Can Change What We Know About Working-Age People With Disabilities," Demography, Springer;Population Association of America (PAA), vol. 49(1), pages 267-289, February.
    7. Burkhauser, Richard V. & Fisher, T. Lynn & Houtenville, Andrew J. & Tennant, Jennifer R., 2014. "Is the 2010 Affordable Care Act minimum standard to identify disability in all national datasets good enough for policy purposes?," Journal of Economic and Social Measurement, IOS Press, issue 4, pages 217-245.
    8. William H. Greene, 1994. "Accounting for Excess Zeros and Sample Selection in Poisson and Negative Binomial Regression Models," Working Papers 94-10, New York University, Leonard N. Stern School of Business, Department of Economics.
    9. Carolyn L. Weaver, 1991. "Disability and Work: Incentives, Rights, and Opportunities," Books, American Enterprise Institute, number 917962, September.
    10. A. J. Culyer & J. P. Newhouse (ed.), 2000. "Handbook of Health Economics," Handbook of Health Economics, Elsevier, edition 1, volume 1, number 1.
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    3. Ralph, Kelcie & Morris, Eric A. & Kwon, Jaekyeong, 2022. "Disability, access to out-of-home activities, and subjective well-being," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 209-227.

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    More about this item

    Keywords

    Disability; Time use; Paid work; Leisure; Health-related activities;
    All these keywords.

    JEL classification:

    • I - Health, Education, and Welfare
    • J - Labor and Demographic Economics

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