Human capital in the long run

TL;DR: This paper examined education, gender, and hierarchical religions, building on work by La Porta and colleagues, who examined the economic effects of hierarchical religions on female education and gender gap for the proportions of ethnoreligious, Hindu, and Muslim adherents in the sample countries.

TL;DR: The authors analyzes the transition observed after the fall of communism in Eastern Europe and the former Soviet Union and uses a general equilibrium model whereby skill bias in production technologists is assumed to exist.

TL;DR: The authors explored theoretically, empirically, and quantitatively the role of age diversity in determining aggregate productivity and output, and built an overlapping-generations (OLG) model which, in view of these two opposing forces, predicts a hump-shaped relationship between age diversity and GDP per capita.

TL;DR: For 98 countries in the period 1960-1985, the growth rate of real per capita GDP is positively related to initial human capital (proxied by 1960 school-enrollment rates) and negatively related to the initial (1960) level as mentioned in this paper.

TL;DR: In this article, the authors analyzed the distribution of worker earnings across workers and over the working age as consequences of differential investments in human capital and developed the human capital earnings function, an econometric tool for assessing rates of return and other investment parameters.

TL;DR: This paper showed that differences in physical capital and educational attainment can only partially explain the variation in output per worker, and that a large amount of variation in the level of the Solow residual across countries is driven by differences in institutions and government policies.

TL;DR: This article showed that the differences in capital accumulation, productivity, and therefore output per worker are driven by differences in institutions and government policies, which are referred to as social infrastructure and called social infrastructure as endogenous, determined historically by location and other factors captured by language.