Worst Case Housing Needs: 2015 Report to Congress

Steffen, Barry; Carter, George R.; Martin, Marge; Pelletiere, Danilo; Vandenbroucke, David A.; Yao, Yung-Gann David

doi:10.2139/ssrn.3055230

Cited by 15 publications

(12 citation statements)

References 2 publications

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“…We include county-level demographic covariates because families with lower income and education are more likely to experience homelessness than other families (Steffen et al, 2015), and families who are minority race and have lower income are more likely to be investigated or have a case substantiated by CPS (Drake, Lee, & Jonson-Reid, 2009; Wildeman et al, 2014). From the 2013 American Community Survey (ACS), we include the percentage of adults with at least a high school diploma, racial and ethnic composition, poverty rate, and county population (U.S.…”

Section: Methodsmentioning

confidence: 99%

“…But for many homeless families, voucher receipt is extremely difficult, as federal housing subsidies are a scarce benefit received by approximately 1 in 4 eligible households (Steffen et al, 2015). These subsidies, most typically granted via a public housing unit or voucher from the Housing Choice Voucher (HCV) Program, require assisted households to pay 30% of their monthly rent, the remainder of which is paid by the local public housing agency (PHA).…”

Section: Introductionmentioning

confidence: 99%

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Public housing agency preferences for the homeless as a policy lever: Examining county-level housing subsidy receipt and maltreatment rates

Warren

Drazen

Curtis

2017

Children and Youth Services Review

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This study examines the relationship between county Public Housing Agency (PHA) practices that prioritize families experiencing homelessness and county-level child maltreatment rates. Using data from a survey of PHAs and the National Child Abuse and Neglect Data System (NCANDS) with a sample of 534 counties, we find that policies which give preference to homeless households for housing assistance are associated with reduced victimization and substantiation rates, while policies that reduce barriers to assistance eligibility are associated with reporting rates. Our findings suggest that beyond prioritizing homeless families for housing assistance as a means of ending homelessness, providing families with more expedient access to a valuable public subsidy may have important positive externalities, such as reduced CPS involvement. Additional partnerships between child welfare agencies and housing providers, particularly those that provide housing subsidies, may be worthy of additional investment and evaluation.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Public housing agency preferences for the homeless as a policy lever: Examining county-level housing subsidy receipt and maltreatment rates

Warren

Drazen

Curtis

2017

Children and Youth Services Review

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“…Nationally, the share of households residing in rental housing rose from 31% in 2005 to 37% in 2015, while household incomes receded back to 1995 levels (Joint Center for Housing Studies, 2015). The current supply of affordable rental housing has not matched this growing demand, as the rental vacancy rate has steadily declined while the rental market has tightened (Steffen et al, 2015). Most developers cannot build new affordable housing stock for low-income households without subsidies to close the growing gap between their construction costs and tenants' affordable rents (Joint Center for Housing Studies, 2015).…”

Section: Introductionmentioning

confidence: 99%

Transportation impacts of affordable housing: Informing development review with travel behavior analysis

Howell

Currans

Gehrke

et al. 2018

JTLU

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Abstract:Planning for affordable housing is challenged by development policies that assess transportation impacts based on methodologies that often do not distinguish between the travel patterns of residents of market-rate housing and those living in affordable units. Given the public goals of providing affordable housing in areas with good accessibility and transportation options, there is a need to reduce unnecessary costs imposed by the potential overestimation of automobile travel and its associated impacts. Thus, the primary objective of this paper is to examine and quantify the influences of urban characteristics, residential housing type, and income on metrics commonly used to assess the transportation impacts of new development, namely total home-based trips and home-based vehicle trips. Using the 2010-2012 California Household Travel Survey, we regressed these metrics on urban place type, regionally adjusted income, and housing type, controlling for household size, weekday travel, and home location. The results indicate significant reductions in vehicle trip making with lower incomes and increasing urbanization. These findings support more differentiation of affordable and market-rate housing in the development review process and emphasize the need for development standards to be more sensitive to the characteristics of future residents and location.

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“…Several studies have found a significant, positive relationship between low-quality housing (defined as the presence of mold or allergens) and worse child health outcomes (Fisk & Mendell, 2007; Wu & Takaro, 2007). Though severely inadequate housing is uncommon nationally, low-income households are disproportionately more likely to experience these housing problems (Holupka & Newman, 2011; Newman & Garboden, 2013; Steffen, et al , 2015). …”

Section: Introductionmentioning

confidence: 99%

“…Local housing values may similarly serve as a proxy for neighborhood quality given that evidence suggests higher housing costs are associated with increased neighborhood and school quality (Aaronson, 2000; Barker & Miller, 2009). An important take-away from the housing quality and neighborhood effects literatures are that regardless of how prior work has operationalized housing or neighborhood quality, in the US context, low-income households, particularly single-parent families, are more likely to experience poor housing quality compared to any other household type (Steffen et al , 2015). …”

Section: Introductionmentioning

confidence: 99%

Child Support Receipt, Mobility, and Housing Quality

Curtis

Warren

2015

Housing Studies

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This study uses administrative records for the state of Wisconsin as well as Zillow Real Estate data on median house values to examine the associations between the regularity of child support receipt on moves and changes in housing values following moves. Our sample consists of 13 329 custodial mothers with new orders from 2002 to 2006. Across several measures of child support and specifications of moves, regular receipt is negatively associated with any moves and with more than one move a year, holding constant the value of the child support received. In models examining associations between regularity and changes in housing quality after a move, an additional month of child support within 25 per cent of the order amount is associated with an $890 increase in housing value. These results imply that policy-makers concerned with housing stability consider both the regularity and absolute value of child support when considering family well-being.

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Worst Case Housing Needs: 2015 Report to Congress

Cited by 15 publications

References 2 publications

Public housing agency preferences for the homeless as a policy lever: Examining county-level housing subsidy receipt and maltreatment rates

Public housing agency preferences for the homeless as a policy lever: Examining county-level housing subsidy receipt and maltreatment rates

Transportation impacts of affordable housing: Informing development review with travel behavior analysis

Child Support Receipt, Mobility, and Housing Quality

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