Abstract: This paper estimates the aggregate productivity effects of Marshallian externalities generated by foreign direct investments (FDI) in the US. In contrast to earlier work, this paper puts special emphasis on controlling for Marshallian externalities and other intra- and inter-regional...

We empirically assess the determinants of India’s FDI outflows across a large sample of host countries in the 1996-2009 period. Based on gravity model specifications, we employ Poisson pseudo maximum likelihood (PPML) estimators. Major findings include: India’s outward FDI is hardly affected...

Night lights could be a valuable proxy of economic activity at the subnational level when GDP data are lacking or of poor quality. Supplementing Henderson et al.’s (2012) analysis at the national level, we assess the stability of the elasticity of GDP with regard to night lights across regions...

This paper investigates the effects of inward FDI on per-capita income and growth of the US states since the mid-1970s. Using a Markov chain approach, it shows that both quantitative and qualitative characteristics of FDI affect per-capita income and growth. Employment-intensive FDI,...

This paper substantiates the debate following Richard Florida’s suggestion to measure regional human capital by creative occupations rather than education. Consistent with Florida’s notion of creativity, it suggests a microfoundation that relates creativity to workers’ cognitive and...

This paper solves one of the puzzles in the analysis of regional and industrial distributions of economic activity, the discrepancy between absolute and relative measures. It shows that the difference between an absolute and a relative Theil index of localization can be expressed in terms of...

This paper estimates annual data on educational attainment for 3,076 mainland U.S. counties 1991 -- 2005. Being estimated without resorting to ancillary information, this data is suited particular well for panel regression analyses. Several plausibility checks indicate that the data is fairly...