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...

We use U.S. county-level data to estimate convergence rates for 22 individual states. We find significant heterogeneity. E.g., the California estimate is 19.9 percent and the New York estimate is 3.3 percent. Convergence rates are essentially uncorrelated with income levels. -- Economic Growth ;...

We use U.S. county-level data to estimate convergence rates for 22 individual states. We find significant heterogeneity. E.g., the California estimate is 19.9 percent and the New York estimate is 3.3 percent. Convergence rates are essentially uncorrelated with income levels

This article reviews the literature analysing the importance of infrastructure for economic growth, and performs an econometric estimation to discover the relation between the two variables in the case of Peru. Different estimators are used with panel data from the 24 regions of Peru for the...

We use new US county level data (3,058 observations) from 1970 to 1998 to explore the relationship between economic growth and the size of government at three levels: federal, state and local. Using 3SLS-IV estimation we find that the size of federal, state and local government all either...

We use U.S. county-level data containing 1,921 cross-sectional observations and up to 29 conditioning variables to estimate heterogeneity in convergence rates across 22 individual U.S. states. Applying GMM estimation, we find significant heterogeneity in the state-level convergence rates. For...

We utilize county-level data to explore the roles of different types of human capital accumulation in U.S. growth determination. The data includes over 3,000 cross-sectional observations and 39 demographic control variables. The large number of observations provides enough degrees of freedom to...

We use US county-level data to estimate convergence rates for 22 individual states. We find significant heterogeneity. E.g., the California estimate is 19.9% and the New York estimate is 3.3%. Convergence rates are essentially uncorrelated with income levels.

We utilize county-level data to explore growth determination in the U.S. and possible heterogeneity in growth determination across individual states. The data includes over 3,000 cross-sectional observations and 39 demographic control variables. We use a consistent two stage least squares...

Recent literatures on entrepreneurship and economic growth estimate the empirical relationships between the following pairs of variables: (1) institutions and entrepreneurial activity; (2) institutions and economic growth; and (3) entrepreneurship and economic growth.This paper revisits each of...