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Rethinking Elderly Poverty: Time for a Health Inclusive Poverty Measure?

Author

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  • Sanders Korenman
  • Dahlia Remler

Abstract

Census's Supplemental Poverty Measure (SPM) nearly doubles the elderly poverty rate compared to the "Official" Poverty Measure (OPM), a result of the SPM subtraction of medical out-of-pocket (MOOP) expenditures from income. Neither the SPM nor OPM counts health benefits or assets as resources. Validation studies suggest that subtracting MOOP from resources worsens a poverty measure's predictive validity and excluding assets exacerbates this bias, since assets fund MOOP. The SPM is based on a 1995 NAS report that recommended a health-exclusive poverty measure, despite considering it, conceptually, a "second best" to a Health-Inclusive Poverty Measure (HIPM). We analyze the reasons for the NAS recommendation and argue that constructing a HIPM is now feasible if we conceptualize health needs as a need for health insurance, and if plans with non-risk-rated premiums and caps on MOOP are universally available, a condition largely met by the Affordable Care Act and Medicare Advantage Plans. We describe four HIPM variants and present analyses that suggest the SPM treatment of MOOP results in a less valid measure of elderly poverty and an overstatement of the elderly poverty rate (by up to 5.5 percentage points or 50 percent). Many elderly classified as poor by the SPM's unlimited MOOP deduction are not poorly insured persons with incomes near the poverty line, but well-insured persons with incomes well above the poverty line.

Suggested Citation

  • Sanders Korenman & Dahlia Remler, 2013. "Rethinking Elderly Poverty: Time for a Health Inclusive Poverty Measure?," NBER Working Papers 18900, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:18900
    Note: AG EH PE
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    Cited by:

    1. Korenman, Sanders & Remler, Dahlia K. & Hyson, Rosemary T., 2021. "Health insurance and poverty of the older population in the United States: The importance of a health inclusive poverty measure," The Journal of the Economics of Ageing, Elsevier, vol. 18(C).
    2. Korenman, Sanders D. & Remler, Dahlia K., 2016. "Including health insurance in poverty measurement: The impact of Massachusetts health reform on poverty," Journal of Health Economics, Elsevier, vol. 50(C), pages 27-35.
    3. Marchand, J. & Smeeding, T., 2016. "Poverty and Aging," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 905-950, Elsevier.
      • Marchand, Joseph & Smeeding, Timothy, 2016. "Poverty and Aging," Working Papers 2016-11, University of Alberta, Department of Economics, revised 20 Nov 2016.
    4. Sanders Korenman & Dahlia K. Remler & Rosemary T. Hyson, 2019. "Accounting for the Impact of Medicaid on Child Poverty," NBER Working Papers 25973, National Bureau of Economic Research, Inc.
    5. Congressional Budget Office, 2017. "Measuring the Adequacy of Retirement Income: A Primer," Reports 53191, Congressional Budget Office.

    More about this item

    JEL classification:

    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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