We develop a quantitative theory of gender differences in labor market participation, hours worked, labor turnover, and human capital accumulation. In our theory, young females expect to face higher labor turnover and to work less hours than males because they allocate time to child rearing. As...

We develop a quantitative theory of human capital with heterogeneous agents in order to assess the sources of cross-country income differences. The cross-sectional implications of the theory and U.S. data are used to restrict the parameters of human capital technology. We then assess the model's...

Using detailed household-level data from Malawi on physical quantities of outputs and inputs in agricultural production, we measure total factor productivity (TFP) for farms controlling for land quality, rain, and other transitory shocks. We find that operated land size and capital are...

Consider the following facts. In 1950 the richest ten-percent of countries attained an average of 8 years of schooling whereas the poorest ten-percent of countries attained 1.3 years, a 6-fold difference. By 2005, the difference in schooling declined to 2-fold. The fact is that schooling has...

Consider the following facts. In 1950, the richest countries attained an average of 8 years of schooling whereas the poorest countries 1.3 years, a large 6-fold difference. By 2005, the difference in schooling declined to 2-fold because schooling increased faster in poor than in rich countries....

Consider the following facts. In 1950 the richest ten-percent of countries attained an average of 8.1 years of schooling whereas the poorest ten-percent of countries attained 1.3 years, a 6-fold difference. By 2005, the difference in schooling declined to 2-fold. The fact is that schooling has...

Consider the following facts. In 1950, the richest countries attained an average of 8 years of schooling whereas the poorest countries 1.3 years, a large 6-fold difference. By 2005, the difference in schooling declined to 2-fold because schooling increased faster in poor than in rich countries....

We construct a new dataset using census, survey, and registry data from hundreds of sources to document a clear positive relationship between development and average establishment size in manufacturing across 134 countries. We rationalize this relationship using a standard model of reallocation...

We formulate a version of the growth model in which production is carried out by heterogeneous plants and calibrate it to US data. In the context of this model we argue that differences in the allocation of resources across heterogeneous plants may be an important factor in accounting for...

A decomposition of aggregate labor productivity based on internationally comparable data from FAO and Penn World Tables reveals that high labor shares and low productivity in agriculture are mainly responsible for poor countries<92> current position in the world income distribution. Using a...</92>