Hess, Christian; Walter, Rebecca J.; Acolin, Arthur; Chasins, Sarah. (2019). Comparing Small Area Fair Market Rents with Other Rental Measures across Diverse Housing Markets. Cityscape, 21(3), 159 – 186.
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Abstract
Small Area Fair Market Rents (SAFMRs) are calculated at the 40th percentile of the U.S. postal ZIP Code instead of the metropolitan area in an effort to capture localized rents to expand choice for voucher holders to access housing in higher-opportunity neighborhoods. Existing studies on the potential and actual outcomes of SAFMRs demonstrate that findings vary for different types of housing markets. Furthermore, the decisions public housing authorities (PHAs) make in the implementation process affect PHAs' program budget and the rent burden and locational outcomes for voucher households. This study aims to address how these implementation factors are affected by local rental market conditions for three PHAs-Housing Authority of the City of Fort Lauderdale, San Antonio Housing Authority, and Seattle Housing Authority-in diverse housing markets. By comparing different sources of market rent estimates with SAFMRs in each location, we contribute new information about how this rule is likely to produce different residential outcomes in terms of increased access to low-poverty neighborhoods and adjustments to payment standards in low-rent neighborhoods. The findings reveal differences across rent measures in terms of estimated levels and relative differences across ZIP Codes. These findings suggest that housing authorities may face challenges in meeting the objectives of the SAFMR final rule without some form of local adjustments.]
Ramiller, Alex; Acolin, Arthur; Walter, Rebecca J.; Wang, Ruoniu. (2022). Moving to Shared Equity: Locational Outcomes for Households in Shared Equity Homeownership Programs. Housing Studies, 44586.
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Abstract
Abstract The impact of U.S. housing policy on household locational outcomes has primarily been studied in the context of rental housing assistance programs, but the impact of alternative homeownership models is less fully explored. In this study, we assess residential trajectories for households that have participated in shared-equity homeownership (SEH) programs such as Community Land Trusts and Limited Equity Housing Cooperatives. We examine changes in neighborhood characteristics that occur when households enter and exit SEH units, and compare those outcomes with similar households that entered traditional homeownership or continued to rent. We find that while entering SEH is associated with decreases in neighborhood opportunity measures, exiting SEH is associated with improvements in key measures including lower concentrations of poverty. We conclude that while entering SEH may entail moving to lower-opportunity neighborhoods, participation in SEH programs increases the long-term economic and socio-spatial mobility of participating households by enabling them to access a broader array of neighborhood contexts in their subsequent move. [ABSTRACT FROM AUTHOR]; Copyright of Housing Studies is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Keywords
Community Land Trusts; Geographies Of Opportunity; Locational Outcomes; Residential Mobility; Shared-equity Homeownership
Cordoba, Hilton A.; Walter, Rebecca J.; Foote, Nathan S. (2018). The Residential Segregation of San Antonio, Texas in 1910: An Analysis Of Ethno-racial and Occupational Spatial Patterns with the Colocation Quotient. Urban Geography, 39(7), 988 – 1017.
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Abstract
The segregation of cities can be traced to a time when the compartmentalization of space and people was based on factors other than race. In segregation research, one of the limiting factors has always been the geographic scale of the data, and the limited knowledge that exists of segregation patterns when the household is the unit of analysis. Historical census data provides the opportunity to analyze the disaggregated information, and this paper does so with San Antonio during 1910. A spatial analysis of residential segregation based on race, ethnicity, and occupations is carried out with the colocation quotient to map and measure the attraction of residents. Results reveal the presence of residential segregation patterns on different sectors of the city based on households' ethno-racial and occupational attributes; therefore, providing evidence of the existence of residential segregation prior to the commonly cited determinants of segregation of the 20th century.
Keywords
Housing Tax Credit; Local Indicators; New York; Association; Indexes; Cities; Scale; City; Differentiation; Environment; Residential Segregation; Colocation Quotient; San Antonio; Spatial Analysis
Walter, Rebecca J. (2018). Consolidating Zip Codes For Small Area Fair Market Rents: A Method For Implementing The New Rule. Housing Policy Debate, 28(4), 553 – 571.
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Abstract
Fair Market Rents (FMRs), calculated for an entire metropolitan region, are used to establish payment standards for the Housing Choice Voucher (HCV) program. In response to recent criticism that FMRs do not represent rent disparity and restrict households from moving to high-opportunity areas, a new rule introducing Small Area Fair Market Rents (SAFMRs) has been issued. SAFMRs are based on ZIP codes to reflect local market rents and increase the number of payment standards used to administer the HCV program. The purpose of this research is to determine whether the number of payment standards can be reduced by consolidating ZIP codes, while adhering to the primary objectives of the SAFMR rule. The ZIP code grouping process conducted offers one method for reducing the number of payment standards needed to implement the new rule; however, the rent analysis reveals the over- and underestimation of SAFMRs for some ZIP codes.
Keywords
Vouchers; Price; U.S Department Of Housing And Urban Development; Housing Choice Voucher Program; Fair Market Rents; Small Area Fair Market Rents; Standards; Markets; Payments; Housing; Households; Criticism; Metropolitan Areas; Postal Codes; State Court Decisions; Rents; Housing Policy; Rules
Salcido, Christine Galvan; Ray, James V.; Caudy, Michael; Viglione, Jill; Walter, Rebecca J. (2019). Associations Between Psychopathic Traits and Readiness for Change: An Exploratory Analysis. Personality And Individual Differences, 141, 86 – 91.
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Abstract
Readiness to change (RTC) indicates an individual's recognition of a problem as well as confidence in their ability to change (Gaume, Bertholet, & Daeppen, 2016), and is hypothesized to play an important role in therapeutic processes aimed at changing offending behaviors (Polaschek & Ross, 2010). However, prior research has generally failed to consider RTC among severe offender subgroups (Hodge & Renwick, 2002; Howells & Day, 2007) such as those with psychopathic personality features whom have often been characterized as resistant to treatment (Harris & Rice, 2006; Salekin, 2002). In the current sample of formerly incarcerated persons (N = 70), we explore the relationship between psychopathic personality traits, as measured by the Triarchic Psychopathy Measure (TriPM; Patrick, 2010), and the unique components of RTC, as measured by an originally constructed assessment called the Change Readiness Scale (CRS). Each item of the CRS has been empirically supported and combined to form five subscales of change readiness (recognition, action, social bonds, human agency, and self efficacy). Results show unique associations between the subscales of the TriPM and aspects of the RTC construct, yielding it necessary to further explore these relationships to better understand how these factors may contribute to treatment and justice system outcomes.
Keywords
High-risk; Therapeutic Alliance; Personality; Validation; Construct; Behavior; Psychopathy; Readiness To Change; Triarchic Psychopathy Measure; Reentry; Offender
Tillyer, Marie Skubak; Walter, Rebecca J. (2019). Busy Businesses and Busy Contexts: The Distribution and Sources of Crime at Commercial Properties. Journal Of Research In Crime & Delinquency, 56(6), 816 – 850.
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Abstract
Objective: Examine the distribution and sources of crime across freestanding businesses in San Antonio. We test hypotheses about the main and interactive effects of neighborhood and business characteristics on crime at the business, with a focus on busy contexts and busy businesses. Method: Police crime incident data are spatially joined to study area business parcels. Additional data sources include Infogroup USA Business Data, the American Community Survey, and an Environmental Protection Agency traffic activity indicator. Multilevel negative binomial regression models are estimated to observe the main and interactive effects of census block group and business variables on crime at the parcel. Results: Businesses located in block groups with more commercial property and high levels of vehicular traffic experience more crime. In addition, crime is higher at busy businesses, as indicated by employee size, sales volume, and square footage. Busy contexts and busy businesses do not appear to interact to increase crime at the parcel beyond their main effects. Conclusions: Crime is clustered at relatively few businesses, and this variation cannot be explained by business type alone. Both neighborhood and business characteristics are associated with crime at freestanding businesses, with busy businesses and those within busier block groups experiencing more crime.
Keywords
Business Enterprises; Commercial Real Estate; Crime; Businesses; Busy Places; Crime And Place; Crime Concentration; Infogroup Usa (company); United States. Environmental Protection Agency; Social-disorganization; Routine Activities; Street Segments; Micro Places; High-schools; Hot-spots; Criminology; Neighborhoods; Facilities; Multilevel; Companies; Law Enforcement; Business; Protection; Traffic; Police; Census; Trade; Sales; Environmental Protection; Commercial Property
Tillyer, Marie Skubak; Walter, Rebecca J. (2019). Low-income Housing And Crime: The Influence Of Housing Development And Neighborhood Characteristics. Crime & Delinquency, 65(7), 969 – 993.
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Abstract
This study examines the distribution of crime across various types of low-income housing developments and estimates the main and interactive effects of housing development and neighborhood characteristics on crime. Negative binomial regression models were estimated to observe the influence of security and design features, neighborhood concentrated disadvantage, residential stability, and nearby nonresidential land use on crime at the housing developments. The findings suggest that low-income housing developments are not uniformly criminogenic, and both development characteristics and neighborhood conditions are relevant for understanding crime in low-income housing developments. Implications for prevention are discussed.
Keywords
Violent Crime; Micro Places; Guardianship; Criminology; Multilevel; Proximity; Patterns; Context; Trends; Impact; Low-income Housing; Criminal Opportunity; Concentrated Disadvantage
Walter, Rebecca J.; Caine, Ian. (2019). The Geographic And Sociodemographic Transformation Of Multifamily Rental Housing In The Texas Triangle. Housing Studies, 34(5), 804 – 826.
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Abstract
This study catalogues the location, clustering and sociodemographic distribution of the development of multifamily rental housing over the last five decades in the Texas Triangle, one of the fastest growing megaregions in the United States. The research reveals prior to the 1970s, apartments clustered in downtown areas; throughout the 1980s and 1990s, the development of apartments expanded to the suburbs and along major interstates; and in the 2000s, apartment growth continued in the peripheral areas while returning downtown. During this time period, apartments were developed most often in majority white, high-income and low-poverty neighbourhoods. These geographic and sociodemographic characteristics challenge widespread conceptions that equate multifamily rental housing with central city locations and low-income populations. The findings suggest that multifamily rental housing offers a powerful tool to increase residential density in downtown and suburban locations, while also accommodating a sociodemographically diverse population.
Keywords
Sociodemographic Factors; Rental Housing; Neighborhoods; Home Ownership; Housing Development; Apartments; Locational Patterns; Multifamily Rental Housing; Sociodemographics; Suburban Infill; Texas Triangle; City Centres; Central Business Districts; Housing; Poverty; Suburban Areas; Residential Density; Suburbs; Transformation; Catalogues; Density; Clustering; Income; Multiple Dwellings; Low Income Groups; Rentals; Catalogs; Texas; United States--us
Acolin, Arthur; Ramiller, Alex; Walter, Rebecca J; Thompson, Samantha; Wang, Ruoniu. (2021). Transitioning to Homeownership: Asset Building for Low- and Moderate-Income Households. Housing Policy Debate, 31(6), 1032 – 1049.
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Abstract
This article assesses the asset building of households that take part in shared-equity homeownership (SEH) models. The contribution of this article is a comparison of outcomes for households participating in shared-equity programs with other low- and moderate-income households who rent or own properties without restrictions on appreciation. We matched participants in SEH programs to households with similar characteristics from the Panel Study of Income Dynamics (PSID) over the 1997-2017 period. The findings indicate that in real terms, median SEH homeowners accumulated about $1,700 in housing wealth annually or around $10,000 during their holding period. This amount is lower than the $2,100 median annual gain in home equity experienced by similar PSID owners but statistically and economically significantly larger than the $16 in annual gain experienced by similar PSID renters. The findings provide evidence that households participating in SEH programs experienced positive, but modest, wealth gains that were slightly lower than those of homeowners in unrestricted units but substantially higher than those of renters.
Keywords
Appreciation; Households; Property; Wealth; Income; Housing; Dynamic Tests; Home Ownership; Assets; Tenants; Equity; Owners
Costa, Ana; Sass, Victoria; Kennedy, Ian; Roy, Roshni; Walter, Rebecca J.; Acolin, Arthur; Crowder, Kyle; Hess, Chris; Ramiller, Alex; Chasins, Sarah. (2021). Toward a Cross-Platform Framework: Assessing the Comprehensiveness of Online Rental Listings. Cityscape, 23(2), 327 – 339.
Abstract
Research on rental housing markets in the United States has traditionally relied on national or local housing surveys. Those sources lack temporal and spatial specificity, limiting their use for tracking short-term changes in local markets. As rental housing ads have transitioned to digital spaces, a growing body of literature has utilized web scraping to analyze listing practices and variations in rental market dynamics. Those studies have primarily relied on one platform, Craigslist, as a source of data. Despite Craigslist's popularity, the authors contend that rental listings from various websites, rather than from individual ones, provide a more comprehensive picture. Using a mixed-methods approach to study listings across various platforms in five metropolitan areas, this article demonstrates considerable variation in both the types of rental units advertised and the features provided across those platforms. The article begins with an account of the birth and consolidation of online rental platforms and emergent characteristics of several selected websites, including the criteria for posting, search parameters, search results priority, and first-page search results. Visualizations are used to compare features such as the 40th percentile of rent, rent distribution, and bedroom size based on scraped data from six online platforms (Padmapper, Forrent.com , Trulia, Zillow, Craigslist, and GoSection8), 2020 Fair Market Rents, and 2019 American Community Survey data. The analyses indicate that online listing platforms target different audiences and offer distinct information on units within those market segments, resulting in markedly different estimates of local rental costs and unit size distribution depending on the platform.