When China acceded to WTO in 2001, there were fears that Chinese firms would lose market share in key sectors to foreign-invested enterprises (FIEs). Although aggregate data often indicate a shift in favour of FIEs, indigenous firms in many cases have slowly increased market share and deepened...

This paper provides an overview of the evolution of income inequality in China from 1987 to 2002, employing three series of data sets. Our focus is on both urban and rural inequality, as well as the urban-rural gap, with the objective of summarizing several “first-order” empirical patterns...

Using detailed household-farm level data from Malawi, we measure real farm total factor productivity (TFP) controlling for a wide array of factor inputs, land quality, and transitory shocks. The distribution of farm TFP has substantial dispersion but factor inputs are roughly evenly spread among...

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 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...

The large differences in income per capita across countries are mostly explained by differences in total factor productivity (TFP). This article summarizes the evidence on the importance of resource allocation across productive units in explaining the observed differences in TFP across countries.

By international standards, gross domestic product (GDP) per capita in Latin America is low: around one fourth of that of the United States. Moreover, in the last five decades, Latin America has failed to catch-up in wealth to the level of the United States while other countries at similar or...