Model County-level Poverty Rate in Georgia Using Spatial Analysis Method
Meng, Ting; Seymour, Lynne
2014

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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.

Details

Title Model County-level Poverty Rate in Georgia Using Spatial Analysis Method
Keywords
Author(s) Meng, Ting
Seymour, Lynne
Subject(s)
Issue Date 2014-01
Publication Type Conference Paper/ Presentation
DOI and Other Identifiers 10.22004/ag.econ.162426
Record Identifier https://ageconsearch.umn.edu/record/162426
PURL Identifier http://purl.umn.edu/162426
Language English
Page Range 1 - 3
Total Pages 3
Record Appears in Southern Agricultural Economics Association (SAEA) > 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas

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