Are production factors allocated efficiently across countries? To differentiate misallocation from factor intensity differences, we construct a new dataset of estimates for the output shares of natural resources for a large panel of countries.
This paper analyzes the sources of the racial difference in the intergenerational transmission of human
capital by developing and estimating a dynastic model of parental time and monetary inputs in early childhood with endogenous fertility, home hours, labor supply, marriage, and divorce.
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
Latin America has had striking changes in economic performance over time. Following the
recession and debt crises of the early 1980’s, consumption declined for about ten years and consumption per-capita in the year 2004 was roughly the same as it was in 1980.
This paper extends the previous literature on geographic (heat waves) and intertemporal
(meteor showers) foreign exchange volatility transmission to characterize the role of jumps and
This paper explores the contribution of the structural transformation and urbanization process in the housing market in China. City migration flows combined with an
inelastic land supply, due to entry restrictions, has raised house prices.
This article develops time-series models to represent three alternative, potential monetary policy regimes as monetary policy returns to normal. The first regime is a return to the high and volatile inflation rate of the 1970s.
This paper evaluates the most appropriate ways to model diffusion and jump features of high-frequency exchange rates in the presence of intraday periodicity in volatility. We show that periodic volatility distorts the size and power of conventional tests of Brownian motion, jumps and (in)finite activity.
This paper provides a general framework for the quantitative analysis of
stochastic dynamic models. We review convergence properties of some
numerical algorithms and available methods to bound approximation errors.