Publications
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Desvinculado y Desigual: Is Segregation Harmful to Latinos?
Despite the high levels of metropolitan area segregation experienced by Latinos, there is a lack of research examining the effects of segregation on Latino socio-economic outcomes and whether those effects differ from the negative effects documented for African Americans. The authors find that segregation is consistently associated with lower levels of educational attainment and labor market success for both African-American and Latino young adults compared to whites, with associations of similar magnitudes for both groups. One mechanism through which segregation may influence outcomes is the difference in the levels of neighborhood human capital to which whites, Latinos, and African Americans are exposed. The authors find that higher levels of segregation are associated with lower black and Latino neighborhood exposure to residents with college degrees, relative to whites. They also find support for other commonly-discussed mechanisms, such as exposure to neighborhood violent crime and the relative proficiency of the closest public school.
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Renting in America’s Largest Cities: NYU Furman Center/Capital One National Affordable Rental Housing Landscape
The NYU Furman Center/Capital One National Affordable Housing Landscape examines rental housing affordability trends in the central cities of the nation’s largest metropolitan areas (New York, Los Angeles, Chicago, Houston, Philadelphia, Dallas, San Francisco, Washington, D.C., Boston, Atlanta and Miami) from 2006 to 2013 and illustrates how these trends affected renters as more households chose to rent amid rising rental costs. See the press release, or view the key findings of the report as an infographic.
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Effect of QAP Incentives on the Location of LIHTC Properties
Recent research has examined the siting patterns of Low Income Housing Tax Credit (LIHTC) developments, but the reality is that the LIHTC program is not one uniform, national program. Rather, the program is administered by state allocating agencies, each of which has considerable discretion over how to allocate tax credits. In particular, each state issues a Qualified Allocation Plan (QAP), which outlines the selection criteria the state will use when awarding its nine percent tax credits. Some criteria are required by the federal government, such as setting aside at least 10 percent of credits for nonprofit developers and using the minimum amount of tax credit financing feasible. However, states are also allowed to adopt additional criteria that further the state’s housing policy and other goals, such as providing set-asides for developments with existing housing subsidies, including the HOPE VI Program, or awarding bonus points for locating developments in particular types of neighborhoods. As the competition for credits has increased, it seems likely that these criteria play a greater role in shaping where tax credit developments are built.
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Low-Income Housing Policy
The United States government devotes about $40 billion each year to means-tested housing programs, plus another $6 billion or so in tax expenditures on the Low Income Housing Tax Credit (LIHTC). What exactly do we spend this money on, why, and what does it accomplish? The authors focus on these questions. They begin by reviewing the history of low-income housing programs in the U.S., and then summarize the characteristics of participants in means-tested housing programs and how programs have changed over time. The authors consider important conceptual issues surrounding the design of and rationale for means-tested housing programs in the U.S. and review existing empirical evidence, which is limited in important ways. Finally, we conclude with thoughts about the most pressing questions that might be addressed in future research in this area.
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Housing, Neighborhoods, and Children’s Health
In theory, improving low-income families’ housing and neighborhoods could also improve their children’s health, through any number of mechanisms. For example, less exposure to environmental toxins could prevent diseases such as asthma; a safer, less violent neighborhood could improve health by reducing the chances of injury and death, and by easing the burden of stress; and a more walkable neighborhood with better playgrounds could encourage children to exercise, making them less likely to become obese. Yet although neighborhood improvement policies generally achieve their immediate goals— investments in playgrounds create playgrounds, for example—Ingrid Gould Ellen and Sherry Glied find that many of these policies don’t show a strong effect on poor children’s health. One problem is that neighborhood improvements may price low-income families out of the very neighborhoods that have been improved, as new amenities draw more affluent families, causing rents and home prices to rise. Policy makers, say Ellen and Glied, should carefully consider how neighborhood improvements may affect affordability, a calculus that is likely to favor policies with clear and substantial benefits for low-income children, such as those that reduce neighborhood violence. Housing subsidies can help families either cope with rising costs or move to more affluent neighborhoods. Unfortunately, demonstration programs that help families move to better neighborhoods have had only limited effects on children’s health, possibly because such transitions can be stressful. And because subsidies go to relatively few low-income families, the presence of subsidies may itself drive up housing costs, placing an extra burden on the majority of families that don’t receive them. Ellen and Glied suggest that policy makers consider whether granting smaller subsidies to more families would be a more effective way to use these funds.
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Accessibility of America’s Housing Stock: Analysis of the 2011 American Housing Survey (AHS)
The American Housing Survey (AHS) is the most comprehensive national housing survey in the United States. Since 2009, AHS has included six core disability questions used in the American Community Survey. The questions address hearing, visual, cognitive, ambulatory, self-care, and independent living difficulties for each household member. For 2011, AHS added a topical module on accessibility. The module asked about the presence of accessibility features in housing units, including wheelchair accessibility features, and whether the accessibility features were used or not. Together, these data provide an unprecedented opportunity to examine the accessibility of the U.S. housing stock and to ask whether people with disabilities reside in accessible homes.
In this report, the authors present summary measures of housing accessibility based on the 2011 AHS. To develop these summary measures, they examined United States (U.S.) and international standards and regulations regarding housing accessibility, reviewed the relevant literature, and conducted interviews with a set of disability and housing design experts. These interviews are further described in appendix A. Based on these summary measures, the authors describe how accessibility varies by housing market characteristics as well as resident characteristics such as age, disability status, and income. They also present evidence on the relationship between the need for and availability of accessible housing units, taking affordability of accessible units into account.
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Density and Disaster: New Models of Disaster Recovery for Housing in High-Density Cities
JAPA Disaster Planning Special Issue Planning Note
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Race and Neighborhoods in the 21st Century
This research brief explores the state of racial segregation in American neighborhoods, and the connection between segregation and gaps in neighborhood conditions. Based on a working paper that analyzed U.S. segregation patterns between the years 1980 and 2010, the research finds that minority groups and whites continue to live in separate and highly unequal neighborhoods. Black and Hispanic households tend to live in neighborhoods with higher poverty rates, fewer college-educated neighbors, lower-performing schools, and higher violent crime rates. Moreover, these differences in neighborhood conditions are amplified in more segregated metropolitan areas. View the working paper, press release, and other resources here.
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Housing, Neighborhoods, and Opportunity: The Location of New York City’s Subsidized Affordable Housing
This report examines changes in the location and neighborhood characteristics of subsidized rental housing in New York City. The study shows that the distribution of subsidized rental units across New York City’s neighborhoods changed significantly between 2002 and 2011, not just as a result of new development, but also because of differential opt-out rates across neighborhoods. As a result, the city is losing affordable housing in the neighborhoods with the highest quality schools, lowest crime rates, and greatest access to jobs. Released in conjuction with the report, the Subsidized Housing Information Project (SHIP) is an online, searchable database of privately-owned, subsidized rental housing in New York City. View the press release or view the NYU Furman Center's infographic, New York City's Opt-Out Outlook.
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Do Homeowners Mark to Market? A Comparison of Self-reported and Estimated Market Home Values During the Housing Boom and Bust
This paper examines homeowners’ self-reported values in the American Housing Survey and the Health and Retirement Study from the start of the recent housing price run-ups through recent price declines. It compares zip code level market-based estimates of housing prices to those derived from homeowners’ self-reported values. The paper shows that there are systematic differences which vary with market conditions and the amount of equity owners hold in their homes. When prices have fallen, homeowners systematically state that their homes are worth more than market estimates suggest, and homeowners with little or no equity in their homes state values above the market estimates to a greater degree. Over time, homeowners appear to adjust their assessments to be more in line with past market trends, but only slowly. The results suggest that underwater borrowers are likely to understate their losses and either may not be aware that their mortgages are underwater or underestimate the degree to which they are.