Data and Code for: Neighborhood Change, Gentrification, and the Urbanization of College Graduates

Principal Investigator(s): View help for Principal Investigator(s) Victor Couture, University of British Columbia; Jessie Handbury, University of Pennsylvania. The Wharton School

Version: View help for Version V1

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Data and Code for: Neighborhood Change, Gentrification, and the Urbanization of College Graduates		0

Project Citation:

Couture, Victor, and Handbury, Jessie. Data and Code for: Neighborhood Change, Gentrification, and the Urbanization of College Graduates. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-04-19. https://doi.org/10.3886/E186383V1

Project Description

Summary: We study changing trends in within-city sorting by education over the last 40 years. We show that neighborhoods closest to the centers of large U.S. cities rose from having the lowest levels of college attainment in 1980 to the highest in 2017. We discuss the determinants of changes in sorting patterns, focusing on the role of transportation technology and income growth. We outline various consequences of the recent urbanization of college graduates on neighborhood amenities, house prices, and segregation. We highlight the tendency of college graduates to cluster into select central neighborhoods, likely limiting opportunities for interactions across educational lines

Scope of Project

Subject Terms: spatial sorting; gentrification

JEL Classification:
      H41 Public Goods
      N92 Regional and Urban History: U.S.; Canada: 1913-
      R21 Urban, Rural, Regional, Real Estate, and Transportation Economics: Housing Demand
      R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
      R28 Urban, Rural, Regional, Real Estate, and Transportation Economics: Government Policy
      R41 Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

Geographic Coverage: United States

Universe: US Census tracts and CBSAs, 1980-2019

Data Type(s): census/enumeration data; geographic information system (GIS) data; survey data

Methodology

Data Source: US Census (1980-2000), American Community Survey (2008-2012, 2015-2019), National Household Travel Survey (2009), Longitudinal Tract Data Base

Unit(s) of Observation: Census tracts and CBSAs by year

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Published Versions

V1 [2023-04-19]

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