Causal identification of transit-induced gentrification and spatial spillover effects: The case of the Denver light rail

We test the hypothesis of transit-induced gentrification for the Regional Transportation District light rail system in Denver, CO. We use a quasi-experimental spatial econometric approach, the spatial difference-in-differences model, to measure the causal relationship between urban rail investments...

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Bibliographic Details
Published in:Journal of transport geography 2018-07, Vol.71, p.15-31
Main Authors: Bardaka, Eleni, Delgado, Michael S., Florax, Raymond J.G.M.
Format: Article
Language:English
Subjects:
Causal identification
Causality
Dependence
Econometrics
Error analysis
Family income
Gentrification
Heterogeneity
Housing
Investments
Light rail transportation
Neighborhoods
Panel data
Quasi-experimental methods
Socioeconomic factors
Spatial analysis
Spatial data
Spatial difference-in-differences
Spatial spillover effects
Transportation
Unobserved heterogeneity
Urban rail
Urban transportation
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Summary:We test the hypothesis of transit-induced gentrification for the Regional Transportation District light rail system in Denver, CO. We use a quasi-experimental spatial econometric approach, the spatial difference-in-differences model, to measure the causal relationship between urban rail investments and gentrification, which allows us to capture the average direct and indirect (spatial spillover) effects of urban rail on several socioeconomic measures of gentrification. We further account for unobserved heterogeneity and spatial dependence via the use of a panel data estimator with spatial error components. Our analysis shows that the installation of a light rail station significantly increases household income and housing values in neighborhoods up to one mile from the station.
ISSN:0966-6923
1873-1236
DOI:10.1016/j.jtrangeo.2018.06.025