The fast and often chaotic urbanization of the developing world generates both economic
opportunity and challenges, like contagious disease and congestion, because proximity …

Density boosts productivity and innovation, improves access to goods and services, reduces
typical travel distances, encourages energy efficient construction and transport, and allows …

We examine the application of quantitative spatial models to the growing body of fine spatial
data used to study economic outcomes for regions, cities, and neighborhoods. In “granular” …

The value of time determines relative prices of goods and services, investments, productivity,
economic growth, and measurements of income inequality. Economists in the 1960s began …

Abstract I study Los Angeles Metro Rail's effects using panel data on bilateral commuting
flows, a quantitative spatial model, and historically motivated quasi-experimental research …

We document a causal effect of the conservative Fox News Channel in the USA on physical
distancing during COVID-19 pandemic. We measure county-level mobility covering all US …

We apply deep learning to daytime satellite imagery to predict changes in income and
population at high spatial resolution in US data. For grid cells with lateral dimensions of 1.2 …

We estimate valuations of time using detailed consumer choice data from a large European
ride hail platform, where drivers bid on trips and consumers choose between a set of …

We provide new theory and evidence on the role of consumption access in understanding
the agglomeration of economic activity. We combine smartphone data that records user …

Measuring the extent and direction of the movement of people across space is key to
understanding spatial gaps and processes of structural transformation. A range of sources …