Affiliation:
1. The Ohio State University (email: )
2. University of Toronto (email: )
Abstract
We analyze the effect of an increase in knowledge-intensive activities on spatial inequality in US cities. We leverage a predetermined network of patent citations to instrument for local innovation trends. Between 1990 and 2010, a one-standard-deviation increase in patent growth increases income segregation by 0.65 Gini points, corresponding to 0.31 standard deviations of the over-time change in income segregation. This effect mainly arises from the sorting of residents by income, occupation, and education. Local shocks to innovation induce a clustering of knowledge-intensive jobs and residents, amplified by the response of rents and amenities. (JEL D31, O31, O33, O34, R23, R32)
Publisher
American Economic Association
Subject
General Economics, Econometrics and Finance
Cited by
4 articles.
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