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Comparing Mechanisms to Child Outcomes from Long-Term Economic Well-Being Measured with the Official Poverty Measure and the Supplemental Poverty Measure

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  • Gary W. Reinbold

    (University of Illinois at Springfield)

Abstract

We used Panel Study of Income Dynamics data to compare paths to nine child outcomes from long-term economic well-being calculated using either the Official Poverty Measure (OPM) or the Supplemental Poverty Measure (SPM). Our sample included 953 10- to 18-year-old U.S. children. We used structural equation models to assess two broad mechanisms: the child’s home environment and parental mental health concerns. The portion of the relationship between our child outcomes and long-term economic well-being that was mediated by parental mental health concerns was generally similar with the OPM and SPM measures; on average, that mechanism explained about 8% of that relationship with the OPM measure and about 5% of that relationship with the SPM measure. However, the portion of that relationship that was mediated by the home environment was always much larger with the OPM measure than with the SPM measure; on average, that mechanism explained about 20% of that relationship with the OPM measure, but only about 5% of that relationship with the SPM measure. These results suggest that programs designed to enhance child outcomes by addressing parents’ mental health needs could use either OPM- or SPM-based measures to select families, but that OPM-based measures may be more effective to select families for programs designed to enhance child outcomes by improving the child’s home environment.

Suggested Citation

  • Gary W. Reinbold, 2018. "Comparing Mechanisms to Child Outcomes from Long-Term Economic Well-Being Measured with the Official Poverty Measure and the Supplemental Poverty Measure," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(3), pages 1007-1028, June.
  • Handle: RePEc:spr:chinre:v:11:y:2018:i:3:d:10.1007_s12187-017-9477-4
    DOI: 10.1007/s12187-017-9477-4
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    References listed on IDEAS

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    1. repec:pri:cheawb:case_paxson_economic_status_paper is not listed on IDEAS
    2. Andrew Dickerson & Gurleen K. Popli, 2016. "Persistent poverty and children's cognitive development: evidence from the UK Millennium Cohort Study," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(2), pages 535-558, February.
    3. Guang Guo & Kathleen Harris, 2000. "The mechanisms mediating the effects of poverty on children’s intellectual development," Demography, Springer;Population Association of America (PAA), vol. 37(4), pages 431-447, November.
    4. Liana Fox & Christopher Wimer & Irwin Garfinkel & Neeraj Kaushal & Jane Waldfogel, 2015. "Waging War on Poverty: Poverty Trends Using a Historical Supplemental Poverty Measure," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 34(3), pages 567-592, June.
    5. repec:pri:cheawb:case_paxson_economic_status_paper.pdf is not listed on IDEAS
    6. Korenman, Sanders & Miller, Jane E. & Sjaastad, John E., 1995. "Long-term poverty and child development in the United States: Results from the NLSY," Children and Youth Services Review, Elsevier, vol. 17(1-2), pages 127-155.
    7. Anne Case & Darren Lubotsky & Christina Paxson, 2002. "Economic Status and Health in Childhood: The Origins of the Gradient," American Economic Review, American Economic Association, vol. 92(5), pages 1308-1334, December.
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