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

Eleni Bardaka; Michael S. Delgado; Raymond J.G.M. Florax

doi:10.1016/j.jtrangeo.2018.06.025

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

Eleni Bardaka^*
, Michael S. Delgado
, Raymond J.G.M. Florax

^*Corresponding author for this work

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

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.

Original language	English
Pages (from-to)	15-31
Number of pages	17
Journal	Journal of Transport Geography
Volume	71
DOIs	https://doi.org/10.1016/j.jtrangeo.2018.06.025
Publication status	Published - Jul 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Causal identification
Gentrification
Spatial difference-in-differences
Spatial spillover effects
Unobserved heterogeneity
Urban rail

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10.1016/j.jtrangeo.2018.06.025

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

abstract = "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.",

keywords = "Causal identification, Gentrification, Spatial difference-in-differences, Spatial spillover effects, Unobserved heterogeneity, Urban rail",

author = "Eleni Bardaka and Delgado, \{Michael S.\} and Florax, \{Raymond J.G.M.\}",

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language = "English",

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pages = "15--31",

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T1 - Causal identification of transit-induced gentrification and spatial spillover effects

T2 - The case of the Denver light rail

AU - Bardaka, Eleni

AU - Delgado, Michael S.

AU - Florax, Raymond J.G.M.

PY - 2018/7

Y1 - 2018/7

N2 - 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.

AB - 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.

KW - Causal identification

KW - Gentrification

KW - Spatial difference-in-differences

KW - Spatial spillover effects

KW - Unobserved heterogeneity

KW - Urban rail

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DO - 10.1016/j.jtrangeo.2018.06.025

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JO - Journal of Transport Geography

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

Abstract

UN SDGs

Keywords

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