U.S. county-level net migration data and a general spatial model are used to examine the effects of various amenities on migration decisions. Results suggest that higher county cancer risks and the presence of superfund sites in a county, or a higher ranking on the Environmental Protection...

The sustained surge in self-employment since 2000 has largely gone unnoticed by policy makers and economic developers. Here the authors document this surge and identify variables associated with expanding self-employment. Results provide mixed evidence about the importance of capital access to...

In the search for explanations of persistent differences in economic growth rates, the conditional convergence growth model has introduced the possibility of incorporating a wide set of factors as determinants of growth. Controlling for spatial dependence, we assess the contribution of...

Even as self-employment continues to increase, policymakers remain largely unaware of this trend and fail to see it as an opportunity for addressing enduring joblessness. In part, this is explained by limited data on the self-employed and by widespread perceptions that returns to self-employment...

The effect of social capital on economic growth is examined using linear regression analysis and U.S. county-level data. Results reveal that social capital has a statistically significant, independent positive effect on the rate of per-capita income growth.

In the search for explanations of persistent differences in economic growth rates, the conditional convergence growth model has introduced the possibility of incorporating a wide set of factors as determinants of growth. Controlling for spatial dependence, we assess the contribution of...

We compare the returns to human capital in rural areas with those in urban areas, and across the different regions of the US. A key finding is that these returns are considerably lower in rural than in urban areas. Furthermore, failure to correct for spatial dependence bias produces an...