Documents Galor, Oded 2 results

"This research explores the long-run effect of industrialization on the process of development. In contrast to conventional wisdom that views industrial development as a catalyst for economic growth, highlighting its persistent effect on economic prosperity, the study establishes that while the adoption of industrial technology was initially conducive to economic development, it has had a detrimental effect on standards of living in the long-run. Exploiting exogenous source of regional variation in the adoption of steam engines during the French industrial revolution, the research establishes that regions which industrialized earlier experienced an increase in literacy rates more swiftly and generated higher income per capita in the subsequent decades. Nevertheless, early industrialization had an adverse effect on income per capita, employment and equality by the turn of the 21st century. This adverse effect reects neither higher unionization and wage rates nor trade protection, but rather underinvestment in human capital and lower employment in skilled-intensive occupations. These findings suggest that the characteristics that permitted the onset of industrialization, rather than the adoption of industrial technology per se, have been the source of prosperity among the currently developed economies that experienced an early industrialization."

"Why does inequality vary across societies? We advance the hypothesis that in a market economy, where earning differentials reflect variations in productive traits among individuals, a significant component of the differences in inequality across societies can be attributed to variation in societal interpersonal diversity, shaped by the prehistorical out-of-Africa migration. Exploring the roots of inequality within the US population, we find supporting evidence for our hypothesis: variation in the inequality across groups of individuals originating from different ancestral backgrounds can be traced to the degree of diversity of their ancestral populations. This effect is sizable: a move from the lowest to the highest level of diversity in the sample is associated with an increase in the Gini index from the median to the 75th percentile of the inequality distribution."