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Published on: February 25, 2013
Estimating experienced racial segregation in US cities using large-scale GPS data
Susan Athey1,2, Billy Ferguson3, Matthew Gentzkow4,2
1Department of Economics, Stanford University, Stanford, CA 94305; athey@stanford.edu.
Abstract:
We estimate a measure of segregation, experienced isolation, that captures individuals' exposure to diverse others in the places they visit over the course of their days. Using Global Positioning System (GPS) data collected from smartphones, we measure experienced isolation by race. We find that the isolation individuals experience is substantially lower than standard residential isolation measures would suggest but that experienced isolation and residential isolation are highly correlated across cities. Experienced isolation is lower relative to residential isolation in denser, wealthier, more educated cities with high levels of public transit use and is also negatively correlated with income mobility.
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