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US Multidimensional Poverty by Race, Ethnicity and Motherhood: Evidence from Pennsylvania Census Data

In: Measuring Multidimensional Poverty and Deprivation

Author

Listed:
  • Feridoon Koohi-Kamali

    (Georgia State University)

  • Ran Liu

    (Decision Economics, Inc.)

Abstract

The combined influence of gender and race has been a defining feature of poverty in the USA, especially for single mothers. Recent applications of capability-based multidimensional poverty (MP) measurement to US data have examined race and gender, but little attention has been given to the intersection of the two. We address this gap in the literature on multidimensional poverty by employing household-level US Census data for the years 2006–2010 that are from Pennsylvania, a state with key income poverty indicators close to the mid-poverty values for all fifty states. We employ a dual cut-off procedure to present MP measures by levels of population sub-groups. The poverty ranking by single motherhood shows Hispanics are the most deprived, Whites as the least deprived, and African–Americans coming in between. Our findings suggest that the provision of child care facilities can prove effective for poverty reduction; and the improvement of language skills is likely to be critical for Hispanics.

Suggested Citation

  • Feridoon Koohi-Kamali & Ran Liu, 2017. "US Multidimensional Poverty by Race, Ethnicity and Motherhood: Evidence from Pennsylvania Census Data," Global Perspectives on Wealth and Distribution, in: Roger White (ed.), Measuring Multidimensional Poverty and Deprivation, chapter 0, pages 223-254, Palgrave Macmillan.
    • Handle: RePEc:pal:gpochp:978-3-319-58368-6_9
    DOI: 10.1007/978-3-319-58368-6_9
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