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A Re-count of Poverty in US Central Cities: Just Who and Where Are the Urban Poor?

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  • Christopher Johnson

    (Department of Economics and Geography, University of North Florida, 4567 St Johns Bluff Road South, Jacksonville, Florida 32224, USA, cjohnson@unf.edu)

Abstract

Poverty remains a persistent problem in central cities across the US and the government's approach to measuring it is not without shortcomings. This paper applies recently developed innovations in poverty measurement and presents improved estimates of central-city poverty across time. A broader and more comprehensive income concept is employed to measure family resources and important distributional aspects of poverty are incorporated by using the Sen index. In general, Sen indexes for the central city are significantly reduced when comprehensive income is used to evaluate poverty. Motivating these changes are the substantial reductions that occur in the depth of poverty and the relative income inequality among poor central-city residents. Regionally, the results suggest that the elements of comprehensive income have their greatest impact on estimates of poverty in Southern central cities, while the central cities of the West are least affected.

Suggested Citation

  • Christopher Johnson, 2007. "A Re-count of Poverty in US Central Cities: Just Who and Where Are the Urban Poor?," Urban Studies, Urban Studies Journal Limited, vol. 44(12), pages 2283-2303, November.
    • Handle: RePEc:sae:urbstu:v:44:y:2007:i:12:p:2283-2303
    DOI: 10.1080/00420980701540929
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    References listed on IDEAS

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    1. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    2. John Bishop & John Formby & Buhong Zheng, 1999. "Distribution Sensitive Measures of Poverty in the United States," Review of Social Economy, Taylor & Francis Journals, vol. 57(3), pages 306-343.
    3. Daniel B. Radner, 1997. "Noncash Income, Equivalence Scales, And The Measurement Of Economic Well‐Being," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 43(1), pages 71-88, March.
    4. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    5. John P. Formby & Gary A. Hoover & Hoseong Kim, 2001. "Economic Growth and Poverty in the United States," Journal of Income Distribution, Ad libros publications inc., vol. 10(3-4), pages 1-1, September.
    6. Short, Kathleen, et al, 1998. "Poverty-Measurement Research Using the Consumer Expenditure Survey and the Survey of Income and Program Participation," American Economic Review, American Economic Association, vol. 88(2), pages 352-356, May.
    7. Daniel Weinberg, 2005. "Alternative Measures of Income Poverty and the Anti-Poverty Effects of Taxes and Transfers," Working Papers 05-08, Center for Economic Studies, U.S. Census Bureau.
    8. Bishop, John A & Formby, John P & Zheng, Buhong, 1997. "Statistical Inference and the Sen Index of Poverty," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(2), pages 381-387, May.
    9. Shorrocks, Anthony F, 1995. "Revisiting the Sen Poverty Index," Econometrica, Econometric Society, vol. 63(5), pages 1225-1230, September.
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