We explore the impact of rising incomes at the top of the distribution on spatial sorting patterns within large U.S. cities. We develop and quantify a spatial model of a city with heterogeneous agents and non-homothetic preferences for neighborhoods with endogenous amenity quality. As the rich...

Tracking human activity in real time and at fine spatial scale is particularly valuable during episodes such as the COVID-19 pandemic. In this paper, we discuss the suitability of smartphone data for quantifying movement and social contact. We show that these data cover broad sections of the US...

This paper documents and explains the striking rise in the proclivity of college-educated individuals to reside near city centers. We show that this recent urban revival is driven entirely by younger cohorts in larger cities. With a residential choice model, we quantify the role of jobs,...

Why did the Black-White wage gap converge from 1960 to 1980 and why has it stagnated since? To answer this question, we introduce a unified model that integrates notions of both taste-based and statistical discrimination into a task-based model of occupational sorting. At the heart of our...

We develop a framework with rich worker heterogeneity, firm monopsony power, and putty-clay technology to study the distributional impact of the minimum wage in the short and long run. Our production technology is disciplined to be consistent with the small estimated employment effects of the...

The distribution of firms in space is far from uniform. Some locations host the most productive large firms, while others barely attract any. In this paper, I study the sorting of heterogeneous firms across locations and analyze policies designed to attract firms to particular regions...

This paper shows that the products and prices offered in markets are correlated with local income-specific tastes. To quantify the welfare impact of this variation, I calculate local price indexes micro-founded by a model of non-homothetic demand over thousands of grocery products. These indexes...

We develop a methodology to estimate robust city level vehicular mobility indices, and apply it to 154 Indian cities using 22 million counterfactual trips measured by a web mapping service. There is wide variation in mobility across cities. An exact decomposition shows this variation is driven...

The number of people buying and selling products online in China has grown from practically zero in 2000 to more than 400 million by 2015. Most of this growth has occurred in cities. In this context, the Chinese government recently announced the expansion of e-commerce to the countryside as a...

We assemble a new global database on motor vehicle travel speed in over 1,200 large cities in 152 countries. We then estimate comparable city-level indices of travel speed and congestion. Most of the variation in urban travel speed is across countries, not within. National income per capita...