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Spatio-temporal dimensions of child poverty in America, 1990–2010

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  • Maia A Call
  • Paul R Voss

Abstract

The persistence of childhood poverty in the United States, a wealthy and developed country, continues to pose both an analytical dilemma and public policy challenge, despite many decades of research and remedial policy implementation. In this paper, our goals are twofold, though our primary focus is methodological. We attempt both to examine the relationship between space, time, and previously established factors correlated with childhood poverty at the county level in the continental United States as well as to provide an empirical case study to demonstrate an underutilized methodological approach. We analyze a spatially consistent dataset built from the 1990 and 2000 U.S. Censuses, and the 2006–2010 American Community Survey. Our analytic approach includes cross-sectional spatial models to estimate the reproduction of poverty for each of the reference years as well as a fixed effects panel data model, to analyze change in child poverty over time. In addition, we estimate a full space–time interaction model, which adjusts for spatial and temporal variation in these data. These models reinforce our understanding of the strong regional persistence of childhood poverty in the U.S. over time and suggest that the factors impacting childhood poverty remain much the same today as they have in past decades.

Suggested Citation

  • Maia A Call & Paul R Voss, 2016. "Spatio-temporal dimensions of child poverty in America, 1990–2010," Environment and Planning A, , vol. 48(1), pages 172-191, January.
  • Handle: RePEc:sae:envira:v:48:y:2016:i:1:p:172-191
    DOI: 10.1177/0308518X15597907
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    References listed on IDEAS

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    1. John A. Bishop & John P. Formby & W. James Smith, 1997. "Demographic Change and Income Inequality in the United States, 1976‐1989," Southern Economic Journal, John Wiley & Sons, vol. 64(1), pages 34-44, July.
    2. Millo, Giovanni & Piras, Gianfranco, 2012. "splm: Spatial Panel Data Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i01).
    3. Katharine L. Bradbury, 1996. "Growing inequality of family incomes: changing families and changing wages," New England Economic Review, Federal Reserve Bank of Boston, issue Jul, pages 55-82.
    4. Ron J. Lesthaeghe & Lisa Neidert, 2006. "The Second Demographic Transition in the United States: Exception or Textbook Example?," Population and Development Review, The Population Council, Inc., vol. 32(4), pages 669-698, December.
    5. Claudia Goldin & Lawrence F. Katz, 2007. "Long-Run Changes in the Wage Structure: Narrowing, Widening, Polarizing," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 38(2), pages 135-168.
    6. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
    7. Baltagi, Badi H. & Song, Seuck Heun & Koh, Won, 2003. "Testing panel data regression models with spatial error correlation," Journal of Econometrics, Elsevier, vol. 117(1), pages 123-150, November.
    8. Robert G. Lynch, 2003. "Estimates of Income and Income Inequality in the United States and in Each of the Fifty States: 1988–1999," Journal of Regional Science, Wiley Blackwell, vol. 43(3), pages 571-588, August.
    9. J. Paul Elhorst, 2003. "Specification and Estimation of Spatial Panel Data Models," International Regional Science Review, , vol. 26(3), pages 244-268, July.
    10. Alasdair Rae, 2012. "Spatially Concentrated Deprivation in England: An Empirical Assessment," Regional Studies, Taylor & Francis Journals, vol. 46(9), pages 1183-1199, October.
    11. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    12. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    13. Albert Chevan & Randall Stokes, 2000. "Growth in family income inequality, 1970–1990: Industrial restructuring and demographic change," Demography, Springer;Population Association of America (PAA), vol. 37(3), pages 365-380, August.
    14. Lynn Karoly & Gary Burtless, 1995. "Demographic change, rising earnings inequality, and the distribution of personal well-being, 1959–1989," Demography, Springer;Population Association of America (PAA), vol. 32(3), pages 379-405, August.
    15. Maria Cancian & Deborah Reed, 1999. "The impact of wives’ earnings on income inequality: Issues and estimates," Demography, Springer;Population Association of America (PAA), vol. 36(2), pages 173-184, May.
    16. Paul Voss & David Long & Roger Hammer & Samantha Friedman, 2006. "County child poverty rates in the US: a spatial regression approach," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 25(4), pages 369-391, August.
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    Cited by:

    1. Harrison, Jane L. & Montgomery, Claire A. & Jeanty, P. Wilner, 2019. "A spatial, simultaneous model of social capital and poverty," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 78(C), pages 183-192.

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