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Model County-level Poverty Rate in Georgia Using Spatial Analysis Method

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  • Meng, Ting
  • Seymour, Lynne

Abstract

Conditionally Auto-regression is employed to investigate the determinants of countylevel poverty rates in Georgia 2011, and also examine whether those poverty rates are spatial correlated. The results indicate that annual income, white person percent, and elder percent have positive effects, while there is no significant spatial correlation.

Suggested Citation

  • Meng, Ting & Seymour, Lynne, 2014. "Model County-level Poverty Rate in Georgia Using Spatial Analysis Method," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162426, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea14:162426
    DOI: 10.22004/ag.econ.162426
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    Keywords

    Public Economics; Research Methods/ Statistical Methods;

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