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 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

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...

The main objective of this paper is to contribute to in-depth literature on the relationship between growth and the informal sector in the presence of corruption. The impact of the interaction between growth and corruption on economic performance (increase or decrease of the informal sector)...

This paper is interested in explaining the causes of the simultaneous evolution between economic growth and informality. Using a large annual panel of African countries with a time series of 25 years, ours results show that when the corruption rate is above (below) a threshold of 1.3577,...

The main objective of this paper is to contribute to in-depth literature on the relationship between growth and the informal sector in the presence of corruption. The impact of the interaction between growth and corruption on economic performance (increase or decrease of the informal sector)...

This paper is interested in explaining the causes of the simultaneous evolution between economic growth and informality. Using a large annual panel of African countries with a time series of 25 years, ours results show that when the corruption rate is above (below) a threshold of 1.3577,...

This paper empirically analyses the impact of the informal sector on long-term growth in developing countries. Using a panel of 112 countries from the icrg and Medina and Schneider (2018) over the period 1991 to 2015, a U-shaped relationship between the size of the informal sector and the growth...