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Including Health Insurance in Poverty Measurement: The Impact of Massachusetts Health Reform on Poverty

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  • Sanders Korenman
  • Dahlia K. Remler

Abstract

We develop and implement what we believe is the first conceptually valid health-inclusive poverty measure (HIPM)—a measure that includes health care or insurance in the poverty needs threshold and health insurance benefits in family resources—and we discuss its limitations. Building on the Census Bureau’s Supplemental Poverty Measure, we construct a pilot HIPM for the under-65 population under ACA-like health reform in Massachusetts. This pilot is intended to demonstrate the practicality, face validity and value of a HIPM. Results suggest that public health insurance benefits and premium subsidies accounted for a substantial, one-third reduction in the poverty rate. Among low-income families who purchased individual insurance, premium subsidies reduced poverty by 9.4 percentage points.

Suggested Citation

  • Sanders Korenman & Dahlia K. Remler, 2016. "Including Health Insurance in Poverty Measurement: The Impact of Massachusetts Health Reform on Poverty," NBER Working Papers 21990, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:21990
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    References listed on IDEAS

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    1. Ericson, Keith M. Marzilli & Starc, Amanda, 2016. "How product standardization affects choice: Evidence from the Massachusetts Health Insurance Exchange," Journal of Health Economics, Elsevier, vol. 50(C), pages 71-85.
    2. Bruce D. Meyer & Wallace K. C. Mok & James X. Sullivan, 2015. "Household Surveys in Crisis," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 199-226, Fall.
    3. Bruce D. Meyer & James X. Sullivan, 2012. "Identifying the Disadvantaged: Official Poverty, Consumption Poverty, and the New Supplemental Poverty Measure," Journal of Economic Perspectives, American Economic Association, vol. 26(3), pages 111-136, Summer.
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    Cited by:

    1. Burkhauser, Richard V. & Corinth, Kevin & Elwell, James & Larrimore, Jeff, 2019. "Evaluating the Success of President Johnson's War on Poverty: Revisiting the Historical Record Using a Full-Income Poverty Measure," IZA Discussion Papers 12855, Institute of Labor Economics (IZA).
    2. Richard V. Burkhauser & Kevin Corinth & James Elwell & Jeff Larrimore, 2019. "Evaluating the Success of President Johnson’s War on Poverty: Revisiting the Historical Record Using an Absolute Full-Income Poverty Measure," NBER Working Papers 26532, National Bureau of Economic Research, Inc.
    3. Mao, Hui & Fu, Yong, 2024. "Risk preference and relative poverty: An analysis based on the data of China Family Panel Studies," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 220-232.
    4. Haiyan Jia & Xiaoyu Sai & Yangyue Su & Ying Huang, 2022. "Measurement and Decomposition of the Health Poverty of Rural Residents in China," IJERPH, MDPI, vol. 19(19), pages 1-20, October.
    5. 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).
    6. Zou, Wei & Cheng, Bo, 2023. "Can rural health insurance coverage improve educational attainment? Evidence from new cooperative medical scheme in China," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 689-704.
    7. Bruce D. Meyer & Derek Wu, 2018. "The Poverty Reduction of Social Security and Means-Tested Transfers," NBER Working Papers 24567, National Bureau of Economic Research, Inc.
    8. Jingjing Zhou & Yaoyu Zhang & Yong Sha & Jianfang Zhou & Hang Ren & Xin Shen & Hui Xu, 2022. "The Effect of the “Triple-Layer Medical Security” Policy on the Vulnerability as Expected Poverty of Rural Households: Evidence from Yunnan Province, China," IJERPH, MDPI, vol. 19(19), pages 1-22, October.
    9. Xinxin Ma, 2022. "Social Insurances and Risky Financial Market Participation: Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(10), pages 2957-2975, August.
    10. Yuhua Li & Xiheng Gong & Jingyi Zhang & Ziwei Xiang & Chengjun Liao, 2022. "The Impact of Mobile Payment on Household Poverty Vulnerability: A Study Based on CHFS2017 in China," IJERPH, MDPI, vol. 19(21), pages 1-20, October.
    11. 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.

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    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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