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
The persistence of poverty in the modern American economy, with rates of poverty in some areas appro...
Socioeconomic and health-related data at the county level are now available through the Community He...
This study examines aggregate county income growth across the 48 contiguous states from 1990 to 2005...
Conditionally Auto-regression is employed to investigate the determinants of countylevel poverty rat...
The poverty rate and income transfer are clearly correlated. However, not much research has attempte...
Abstract We apply methods of exploratory spatial data analysis (ESDA) and spatial regression analysi...
The state of Georgia has one of the highest poverty rates of all the states in the United States. Th...
Abstract We apply methods of exploratory spatial data analysis (ESDA) and spatial regression analysi...
This paper investigates poverty in rural Georgia Counties for the years 2000 and 2009. Analysis from...
Regression analysis depends on several assumptions that have to be satisfied. A major assumption tha...
The Appalachian Region has made progress in the various measures of development but still lags behin...
This analysis is aimed at finding the correlation between two factors. Those are the average GDP by ...
In this paper we develop an autoregressive spatial simultaneous equations model to investigate the c...
A spatial simultaneous-equations growth equilibrium model estimated by GS2SLS and GS3SLS estimators ...
The poverty rate and income transfer are clearly correlated. However, not much research has attempte...
The persistence of poverty in the modern American economy, with rates of poverty in some areas appro...
Socioeconomic and health-related data at the county level are now available through the Community He...
This study examines aggregate county income growth across the 48 contiguous states from 1990 to 2005...
Conditionally Auto-regression is employed to investigate the determinants of countylevel poverty rat...
The poverty rate and income transfer are clearly correlated. However, not much research has attempte...
Abstract We apply methods of exploratory spatial data analysis (ESDA) and spatial regression analysi...
The state of Georgia has one of the highest poverty rates of all the states in the United States. Th...
Abstract We apply methods of exploratory spatial data analysis (ESDA) and spatial regression analysi...
This paper investigates poverty in rural Georgia Counties for the years 2000 and 2009. Analysis from...
Regression analysis depends on several assumptions that have to be satisfied. A major assumption tha...
The Appalachian Region has made progress in the various measures of development but still lags behin...
This analysis is aimed at finding the correlation between two factors. Those are the average GDP by ...
In this paper we develop an autoregressive spatial simultaneous equations model to investigate the c...
A spatial simultaneous-equations growth equilibrium model estimated by GS2SLS and GS3SLS estimators ...
The poverty rate and income transfer are clearly correlated. However, not much research has attempte...
The persistence of poverty in the modern American economy, with rates of poverty in some areas appro...
Socioeconomic and health-related data at the county level are now available through the Community He...
This study examines aggregate county income growth across the 48 contiguous states from 1990 to 2005...
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