Showing 1 - 8 of 8
We use US county level data (3,058 observations) from 1970 to 1998 to explore the relationship between economic growth and the extent of government employment at three levels: federal, state and local. We find that increases in federal, state and local government employments are all negatively...
Persistent link: https://www.econbiz.de/10005616935
Higgins et al. (2006) report several statistically significant partial correlates with U.S. per capita income growth. However, Levine and Renelt (1992) demonstrate that such correlations are hardly ever robust to changing the combination of conditioning variables included. We ask whether the...
Persistent link: https://www.econbiz.de/10005621380
We use Mississippi county-level data on (per capita) income and the percentages of populations that are Black (henceforth "Black") to examine the relationship between race and economic growth. The analysis is also conditioned on 40 other economic and socio-demographic variables. Given a negative...
Persistent link: https://www.econbiz.de/10005621882
In this paper we outline (i) why sigma-convergence may not accompany beta-convergence, (ii) discuss evidence of beta-convergence in the U.S., and (iii) use U.S. county-level data containing over 3,000 cross-sectional observations to demonstrate that sigma-convergence cannot be detected at the...
Persistent link: https://www.econbiz.de/10005623539
predict the dynamics of personal incomes for every single person in the working-age population in the USA between 1930 and …
Persistent link: https://www.econbiz.de/10011259180
A two-component model for the evolution of real GDP per capita in the USA is presented and tested. The first component … between the growth rate of real GDP per capita and the number of 9-year-olds in the USA is tested for cointegration. For … cointegrating relation. Econometrically, the tests for cointegration show that the deviations of real economic growth in the USA …
Persistent link: https://www.econbiz.de/10005790144
obtained for the USA is characterized by A1=4.0, A2=-0.03075, and t1=2 years. It provides a root mean square forecasting error …
Persistent link: https://www.econbiz.de/10005836346
In April 2009, we introduced a model representing the evolution of motor fuel price (a subcategory of the consumer price index of transportation) relative to the overall CPI as a linear function of time. Under our framework, all price deviations from the linear trend are transient and the price...
Persistent link: https://www.econbiz.de/10008543797