Abstract
A structural model of regional economic growth is estimated using Two-Staged Least Squares method to determine the role of quality of life attributes on rural economic growth. Selected socioeconomic indicators are constructed mainly from U.S Census Bureau and regressed on three simultaneous equations explaining the major proxy indicators of growth in Alabama: population, employment and per capita income growth rates. Results show strong relationship between initial conditions, quality of life measures and rural growth.
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