Exploring Spatial Clustering Over Time and Spillover Effects of the Low-Income Housing Tax Credit on Neighborhood-Level Income Segregation
Bibliographic Data
| ID | 6404476 |
|---|---|
| Authors | Jongho Won (0000-0002-6340-3283, University of California, Irvine, CA, USA, corresponding author) |
| Year | 2022 |
| Volume | 58 |
| Issue | 3 |
| Pages | 799-831 |
| Publication date | 2022-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Urban Affairs Review (JOURNAL) |
| Journal identifiers | ISSN: 1078-0874 • E-ISSN: 1552-8332 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/1078087420973436 |
| OpenAlex | W3107326489 |
| Language | EN |
| Citations received | 1 |
| References cited | 32 |
This study investigates the longitudinal and spatial patterns and spillover effects of Low-Income Housing Tax Credit (LIHTC) developments on neighborhood-level income segregation. Focusing on all MSAs in the U.S., the results show that LIHTC units have been spatially clustered in socioeconomically disadvantaged neighborhoods over time. This research also explores the spillover effects of LIHTC units on neighborhood economic status by utilizing propensity scores and weighted linear regression to address a self-selection bias of developers’ decisions regarding the location of LIHTC projects. The results suggest that LIHTC developments, in general, are expected to increase the concentration of households that have lower income than the average household income of the MSA. However, in high-poverty neighborhoods, LIHTC developments yield positive spillover effects on neighborhood economic status. Moreover, providing LIHTC units in high-poverty neighborhoods where LIHTC units were built previously in the focal or any adjacent neighborhood also improves neighborhood economic status
Disadvantaged · Econometrics · Economic growth · Economics · Labour economics · Microeconomics · Poverty · Public economics · Spillover effect · Tax credit · Housing Market and Economics · Housing, Finance, and Neoliberalism · Urban, Neighborhood, and Segregation Studies
Marginal Structural Models and Causal Inference in Epidemiology
The effects of low income housing tax credit developments on neighborhoods
Model-Based Direct Adjustment
Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples
Constructing Inverse Probability Weights for Marginal Structural Models
Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies
Covariate balancing propensity score for a continuous treatment
The central role of the propensity score in observational studies for causal effects
Does neighborhood matter? Assessing recent evidence
An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies
Remaking Urban Segregation
Comparing Opportunity Metrics and Locational Outcomes in the Low-Income Housing Tax Credit Program
The External Neighborhood Effects of Low-Income Housing Tax Credit Projects Built by Three Sectors
Low-Income Housing Development, Poverty Concentration, and Neighborhood Inequality
Growing Pains
Spatial Variations in US Poverty
Unpacking the impacts of the Low-Income Housing Tax Credit program on nearby property values
Who Wants Affordable Housing in Their Backyard? An Equilibrium Analysis of Low-Income Property Development
Assisted Housing and Income Segregation among Neighborhoods in U.S. Metropolitan Areas
Locational Patterns of Low-Income Housing Tax Credit Developments
Assisted Housing and Neighborhood Poverty Dynamics, 1977 to 2008
The Dimensions of Residential Segregation
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |