2010•RePEc: Research Papers in EconomicsRequires access

Examining Income Convergence in Southern United States

Buddhi Gyawali, Swagata Banerjee, James Obadiah Bukenya

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Abstract

County-level data for 11 southern states were used to examine income convergence between 1980 and 2000. Ordinary least squares regression of logarithmic difference on average per capita income in 1980 and 2000 indicated conditional income convergence over the 20-year period. The estimated rate of income convergence was 3.82% per year. This convergence varied across the region based on the initial and changed conditions of population density, African-American population, employment, education, age structure, and travel time to work.

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County-level data for 11 southern states were used to examine income convergence between 1980 and 2000. Ordinary least squares regression of logarithmic difference on average per capita income in 1980 and 2000 indicated conditional income convergence over the 20-year period. The estimated rate of income convergence was 3.82% per year. This convergence varied across the region based on the initial and changed conditions of population density, African-American population, employment, education, age structure, and travel time to work.

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Available abstract

County-level data for 11 southern states were used to examine income convergence between 1980 and 2000. Ordinary least squares regression of logarithmic difference on average per capita income in 1980 and 2000 indicated conditional income convergence over the 20-year period. The estimated rate of income convergence was 3.82% per year. This convergence varied across the region based on the initial and changed conditions of population density, African-American population, employment, education, age structure, and travel time to work.

Key concepts: Per capita income, Ordinary least squares, Convergence (economics), Population, Conditional convergence, Econometrics, Per capita, Demographic economics

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