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Hearing Loss and Disability Exit: Measurement Issues and Coping Strategies

Listed author(s):
  • Christensen, Vibeke T.

    ()

    (Danish Institute of Governmental Research)

  • Datta Gupta, Nabanita

    ()

    (Aarhus University)

  • Rasmussen, Martin V.

    (affiliation not available)

Using unique representative data containing self-reported functional and clinically measured hearing ability for the Danish population aged 50-64, we estimate the effect of hearing loss on receipt of disability benefits accounting for potential endogeneity of functional hearing. Our identification strategy involves simultaneous estimation of labor supply, functional hearing and coping strategies i.e. using assistive devices at work or informing one’s employer about the problem. We find that functional hearing disability significantly increases the likelihood of receiving disability benefits for both men and women. Using assistive devices at the work place decreases the likelihood of going on disability for both genders, whereas telling the employer about the disability increases disability-related exit for both genders, but considerably more so for women.

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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 3196.

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Length: 32 pages
Date of creation: Nov 2007
Handle: RePEc:iza:izadps:dp3196
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  1. Bound, John & Burkhauser, Richard V., 1999. "Economic analysis of transfer programs targeted on people with disabilities," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 51, pages 3417-3528 Elsevier.
  2. Andrew E. Clark, 1998. "Measures of Job Satisfaction: What Makes a Good Job? Evidence from OECD Countries," OECD Labour Market and Social Policy Occasional Papers 34, OECD Publishing.
  3. Michael Baker & Mark Stabile & Catherine Deri, 2004. "What Do Self-Reported, Objective, Measures of Health Measure?," Journal of Human Resources, University of Wisconsin Press, vol. 39(4).
  4. Brent Kreider & Regina T. Riphahn, 2000. "Explaining Applications to the U.S. Disability System: A Semiparametric Approach," Journal of Human Resources, University of Wisconsin Press, vol. 35(1), pages 82-115.
  5. Nabanita Datta Gupta & Mona Larsen, 2010. "The impact of health on individual retirement plans: self-reported versus diagnostic measures," Health Economics, John Wiley & Sons, Ltd., vol. 19(7), pages 792-813.
  6. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
  7. John Bound, 1991. "Self-Reported Versus Objective Measures of Health in Retirement Models," Journal of Human Resources, University of Wisconsin Press, vol. 26(1), pages 106-138.
  8. Sandra K. Pope & MaryFran Sowers, 2000. "Functional Status and Hearing Impairments in Women at Midlife," Journals of Gerontology: Series B, Gerontological Society of America, vol. 55(3), pages 190-194.
  9. Hugo Benítez-Silva & Moshe Buchinsky & Hiu Man Chan & Sofia Cheidvasser & John Rust, 2004. "How large is the bias in self-reported disability?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(6), pages 649-670.
  10. Steven Stern, 1989. "Measuring the Effect of Disability on Labor Force Participation," Journal of Human Resources, University of Wisconsin Press, vol. 24(3), pages 361-395.
  11. Böckerman, Petri & Johansson, Edvard & Saarni, Samuli I., 2011. "Do established health-related quality-of-life measures adequately capture the impact of chronic conditions on subjective well-being?," Health Policy, Elsevier, vol. 100(1), pages 91-95, April.
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