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Poverty and Gender: Determinants of Female- and Male-Headed Households with Children in Poverty in the USA, 2019

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  • Madhuri Sharma

    (Department of Geography and Sustainability, University of Tennessee, Knoxville, TN 37996-0925, USA)

Abstract

Attaining economic parity and reducing poverty between the genders are critical steps toward attaining the United Nations’ Sustainable Development Goals. Despite progress, women in the US still earn USD 0.83 for every USD 1.00 that a man earns. With rising shares of single/female-headed households with children in American society in recent years, such gaps in earnings exacerbate the misery of children living in such households. In 2019, female-headed households with children had poverty rates almost twice (36.5%) that of single/male-headed families (16.3%). This paper uses five-year American Community Survey estimates from the National Historical Geographic Information System to empirically examine the spatial distribution and determinants of female-versus-male-headed households with children living in poverty in the counties of the USA. Lower levels of educational attainment are associated with higher levels of poverty for both genders. A bachelor’s degree in education is associated with higher poverty for female-headed households, whereas majoring in business, sciences, engineering, and arts/humanities is associated with lower poverty for male-headed households. Service-sector occupations inherently contribute to higher poverty for both groups. Over-representation in management/professional and natural-resources, construction, and maintenance-type occupations works well for male-headed households, whereas management/professional, sales/office, and service-based occupations associate with higher poverty for female-headed households—pointing toward the “working poor”—comprising largely of the active female labor force in the new economy. Full- and part-time work status alleviates poverty for female-headed households, whereas part-time work is associated with higher poverty for males.

Suggested Citation

  • Madhuri Sharma, 2023. "Poverty and Gender: Determinants of Female- and Male-Headed Households with Children in Poverty in the USA, 2019," Sustainability, MDPI, vol. 15(9), pages 1-23, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7602-:d:1140132
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    References listed on IDEAS

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    1. Faisal Bin Islam & Madhuri Sharma, 2021. "Gendered Dimensions of Unpaid Activities: An Empirical Insight into Rural Bangladesh Households," Sustainability, MDPI, vol. 13(12), pages 1-12, June.
    2. Amar A. Hamoudi & Jeffrey D. Sachs, 1999. "Economic Consequences of Health Status: A Review of the Evidence," CID Working Papers 30, Center for International Development at Harvard University.
    3. Seymour, Gregory & Floro, Maria S., 2016. "Identity, household work, and subjective well-being among rural women in Bangladesh," IFPRI discussion papers 1580, International Food Policy Research Institute (IFPRI).
    4. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    5. Anusha Chari & Paul Goldsmith-Pinkham, 2017. "Gender Representation in Economics Across Topics and Time: Evidence from the NBER Summer Institute," NBER Working Papers 23953, National Bureau of Economic Research, Inc.
    6. Amar A Hamoudi & Jeffrey D. Sachs, 1999. "Economic Consequences of Health Status: A Review of the Evidence," CID Working Papers 30A, Center for International Development at Harvard University.
    7. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2006. "The Polarization of the U.S. Labor Market," American Economic Review, American Economic Association, vol. 96(2), pages 189-194, May.
    8. Gary S. Becker, 1994. "Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, Third Edition," NBER Books, National Bureau of Economic Research, Inc, number beck94-1.
    9. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1169-1213.
    10. Shyamal K. Chowdhury, 2010. "Impact of infrastructures on paid work opportunities and unpaid work burdens on rural women in Bangladesh," Journal of International Development, John Wiley & Sons, Ltd., vol. 22(7), pages 997-1017.
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    Cited by:

    1. Doux Baraka Kusinza, 2024. "Are American Women more Deprived than Men ?," DeFiPP Working Papers 2404, University of Namur, Development Finance and Public Policies.

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