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Correction Of Misclassification Error In Disability Rates

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  • Amanda Gosling
  • Eirini‐Christina Saloniki

Abstract

This paper examines misclassification error in survey estimates of disability. The results suggest that a significant number of those with a disability fail to be recorded as such in the British Household Panel Survey. In addition, the probability of a false positive is estimated as being very close to zero in all socio‐demographic groups. There is a strong bias in estimates of differences in rates of disability across groups but only a small effect on estimates of the difference in employment rates by disability status. Copyright © 2014 John Wiley & Sons, Ltd.

Suggested Citation

  • Amanda Gosling & Eirini‐Christina Saloniki, 2014. "Correction Of Misclassification Error In Disability Rates," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 1084-1097, September.
  • Handle: RePEc:wly:hlthec:v:23:y:2014:i:9:p:1084-1097
    DOI: 10.1002/hec.3080
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    File URL: https://doi.org/10.1002/hec.3080
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    References listed on IDEAS

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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. Bound, John, 1989. "The Health and Earnings of Rejected Disability Insurance Applicants," American Economic Review, American Economic Association, vol. 79(3), pages 482-503, June.
    3. Kreider, Brent & Pepper, John V., 2007. "Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 432-441, June.
    4. Horowitz, Joel L & Manski, Charles F, 1995. "Identification and Robustness with Contaminated and Corrupted Data," Econometrica, Econometric Society, vol. 63(2), pages 281-302, March.
    5. repec:eee:labchp:v:3:y:1999:i:pc:p:3417-3528 is not listed on IDEAS
    6. Brent Kreider & John Pepper, 2008. "Inferring disability status from corrupt data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 329-349.
    7. Brent Kreider, 1999. "Latent Work Disability and Reporting Bias," Journal of Human Resources, University of Wisconsin Press, vol. 34(4), pages 734-769.
    8. Maarten Lindeboom & Marcel Kerkhofs, 2009. "Health and work of the elderly: subjective health measures, reporting errors and endogeneity in the relationship between health and work," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 1024-1046.
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    Cited by:

    1. Cheny, L.; & Clarke, P.M.; & Petrie, D.J.; & Staub, K.E.;, 2018. "The effects of self-assessed health: Dealing with and understanding misclassification bias," Health, Econometrics and Data Group (HEDG) Working Papers 18/26, HEDG, c/o Department of Economics, University of York.
    2. Black, Nicole & Johnston, David W. & Suziedelyte, Agne, 2017. "Justification bias in self-reported disability: New evidence from panel data," Journal of Health Economics, Elsevier, vol. 54(C), pages 124-134.

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