I am an Associate Professor of Economics at the University of Chicago Booth School of Business and a Faculty Research Fellow at the National Bureau of Economic Research. I study international economics and urban economics. My research interests include the geographic distributions of human capital, industries, and occupations. At Booth, I teach Managing the Firm in the Global Economy.
Why do high-income countries export high-quality goods: home demand or factor abundance? I develop a model nesting both hypotheses and employ microdata on US manufacturing plants' shipments and factor inputs to quantify the two mechanisms' roles in quality specialization across US cities. Home-market demand explains as much of the relationship between income and quality as differences in factor usage.
We develop the first system-of-cities model with costly idea exchange as the agglomeration force. The model replicates a broad set of established facts about the cross section of cities. It provides the first spatial equilibrium theory of why skill premia are higher in larger cities and how variation in these premia emerges from symmetric fundamentals.
We measure ethnic and racial segregation in urban consumption using Yelp reviews of NYC restaurants. Spatial frictions cause consumption segregation to partly reflect residential segregation. Social frictions also matter: individuals are less likely to visit restaurants in neighborhoods demographically different from their own. Nonetheless, restaurant consumption in New York City is only about half as segregated as residences. Consumption segregation owes more to social than spatial frictions.
What determines the distributions of skills, occupations, and industries across cities? We develop a theory that incorporates a system of cities, their internal urban structures, and a high-dimensional theory of factor-driven comparative advantage. It predicts that larger cities will be skill-abundant and specialize in skill-intensive activities according to the monotone likelihood ratio property. Data on US cities, education groups, occupations, and industries are consistent with our theory's predictions.
This paper shows that welfare inequality across a trading network is greater when neighboring locations have more similar productivities. A rise in the global spatial correlation of productivities amplifies cross-country welfare dispersion by increasing the correlation between a country's productivity and its gains from trade. To causally examine this prediction, we study how annual global agricultural trade responds to exogenous changes in the spatial correlation of agricultural productivity driven by a global climatic phenomenon. As predicted, gains from trade over the last half-century were larger for more productive countries and smaller for less productive countries when agricultural productivity was more spatially correlated. In a forecasting application, end-of-century climate change projections that incorporate this general-equilibrium effect exhibit substantially greater global welfare inequality, with higher welfare losses across most of Africa.
In developed economies, agglomeration is skill-biased: larger cities are skill-abundant and exhibit higher skilled wage premia. This paper characterizes the spatial distributions of skills in Brazil, China, and India. To facilitate comparisons with developed-economy findings, we construct metropolitan areas for each economy by aggregating finer geographic units on the basis of contiguous areas of light in nighttime satellite images. Based on spatial variation in relative quantities and relative prices of skill, agglomeration appears to be skill-biased in Brazil, China, and India.
This course studies international economics from the perspective of the firm. Its objective is to equip students with analytical tools to understand the organizational, financial, and legal issues facing firms doing business across borders.