Moving mountains: Geography, neighborhood sorting, and spatial income segregation

Using a novel geospatial panel combined with data from the 2015 American Community Survey (ACS), we investigate the effect of topography—altitude and terrain unevenness—on income segregation at the neighborhood level. Specifically, we perform large‐scale counterfactual simulations by estimating hous...

Full description

Saved in:
Bibliographic Details
Published in:Journal of regional science 2024-09, Vol.64 (4), p.1205-1235
Main Authors: Ye, Victor Yifan, Becker, Charles M.
Format: Article
Language:English
Subjects:
Cities
computation
counterfactual
Geography
household income
Households
Income
Low income groups
Mountains
neighborhood sorting
Neighborhoods
Panel data
Segmentation
Segregation
spatial modelling
Topography
Unevenness
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Using a novel geospatial panel combined with data from the 2015 American Community Survey (ACS), we investigate the effect of topography—altitude and terrain unevenness—on income segregation at the neighborhood level. Specifically, we perform large‐scale counterfactual simulations by estimating household preferences for topography, altering the topographical profile of each city, and observing the resulting neighborhood sorting outcome. We find that unevenness contributes to the segmentation of markets: in the absence of hilliness, rich and poor households experience greater mixing. Hillier cities are more income‐segregated because of their unevenness; the opposite is true for flatter cities.
ISSN:0022-4146
1467-9787
DOI:10.1111/jors.12697