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More likely to be poor whatever the measure: persons with disabilities in the U.S

Author

Listed:
  • Debra L. Brucker

    (University of New Hampshire)

  • Sophie Mitra

    (Fordham University)

  • Navena Chaitoo

    (Fordham University)

  • Joseph Mauro

    (Fordham University)

Abstract

This paper examines whether disability is a correlate of poverty when poverty is measured using (1) the official poverty measure; (2) the supplemental poverty measure (SPM); and (3) two newly created multidimensional poverty measures. Methods: Data from the Current Population Survey is used to explore the relationship between poverty and disability for each measure. Differences across disability status were tested for statistical significance. Results: Disability is associated with poverty, irrespective of the poverty measure under use. The gap in poverty rates between persons with and without disabilities is smaller when using the SPM as compared to the official poverty measure. The gap in poverty rates between persons with and without disabilities is highest when using multidimensional poverty measures. Conclusion: Working age persons with disabilities are more likely to be poor whatever the measure under use. They are a disadvantaged group in the U.S.

Suggested Citation

  • Debra L. Brucker & Sophie Mitra & Navena Chaitoo & Joseph Mauro, 2014. "More likely to be poor whatever the measure: persons with disabilities in the U.S," Fordham Economics Discussion Paper Series dp2014-01, Fordham University, Department of Economics.
  • Handle: RePEc:frd:wpaper:dp2014-01
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    File URL: https://archive.fordham.edu/ECONOMICS_RESEARCH/PAPERS/dp2014_01_mitra.pdf
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    References listed on IDEAS

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    Cited by:

    1. Sophie Mitra & Debra Brucker, 2019. "Monitoring multidimensional poverty in the United States," Economics Bulletin, AccessEcon, vol. 39(2), pages 1272-1293.

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