Publications
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The Importance of Using Layered Data to Analyze Housing: The Case of the Subsidized Housing Information Project
The Furman Center for Real Estate and Urban Policy recently developed a new database through its Subsidized Housing Information Project (SHIP). The SHIP database combines more than 50 disparate data sets to catalogue every privately owned, publicly subsidized affordable rental property developed in New York City with financing and insurance from the U.S. Department of Housing and Urban Development (HUD), HUD projectbased rental assistance, New York City or State Mitchell-Lama financing, or the federal Low-Income Housing Tax Credit Program. The pooling and layering of data, as well as
combining the data with other local housing and neighborhood information, in databases like the SHIP allow for a clearer understanding of the existing affordable housing stock and enable practitioners to more effectively target resources toward the preservation of affordable housing. -
Quarterly Housing Update 2011: 3rd Quarter
In an analysis of third quarter housing indicators, The Furman Center finds that home sales volume remained low in the third quarter of 2011, with the number of properties sold citywide four percent lower than the number sold in the third quarter of 2010. Property values are also lagging in most of the city. Manhattan is the only borough where properties have appreciated in price over the last year. The Quarterly Housing Update is unique among New York City housing reports because it incorporates sales data, residential development indicators, and foreclosures. It also presents a repeat sales index for each borough to capture price appreciation while controlling for housing quality.
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Loan Modifications: What Works
We use a unique dataset that combines data on loan, borrower, property, and neighborhood characteristics of modified mortgages on properties in New York City to examine the determinates of successful modifications. From November 2007 through March 2011, over 2.1 million mortgages were modified in the United States, and policymakers have heralded such modifications as a key to addressing the ongoing foreclosure crisis. This dataset includes both HAMP modifications and proprietary modifications. The analysis builds upon a prior paper in which the determinants of loan modifications were examined.
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A Canary in the Mortgage Market? Why the Recent FHA and GSE Loan Limit Reductions Deserve Attention
Explores the potential implications of recent reductions in the maximum loan size that can be guaranteed by Fannie Mae and Freddie Mac (Government-Sponsored Enterprises or GSEs), or insured by the Federal Housing Administration (FHA) in many parts of the country. The changes, which went into effect on Oct. 1, 2011, represent the first step in a long-term policy goal to reduce the federal government’s current role in the mortgage system. They will also be a significant test of the private mortgage finance system.
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Determinants of the Incidence of Loan Modifications
Loan modifications ensure that borrowers avoid foreclosure and save their credit record. These modifications are also beneficial to the neighborhoods in which these borrowers reside, preventing vacancies and high rates of turnover. This analysis looks at loan delinquency and repayment plan data from New York City borrowers to provide the strongest predictors of modifications or liquidation of property. In this paper, we answer key questions about loan modifications, including how the identity, property or neighborhood of the borrower affects the likelihood of receiving a modification. We also look at the role of residential segregation, as well as the identity of the loan’s servicer as an influence on variations in borrower access to loan modifications.
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State of New York City’s Subsidized Housing: 2011
To reduce the financial burden that low- and moderate-income families in New York City face, city, state and federal agencies have employed numerous subsidy programs to encourage private developers to own and manage affordable housing developments. With the cooperation of government housing agencies, the Furman Center created the Subsidized Housing Information Project (SHIP)—an online searchable database containing information on the nearly 235,000 units of privately-owned, subsidized affordable rental housing in New York City developed with major subsidy programs. This report is the first comprehensive analysis of properties in our SHIP database, and identifies opportunities to preserve affordable housing in the coming years.
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Navigating Uncertain Waters: Mortgage Lending in the Wake of the Great Recession
This report summarizes our February 4, 2011 Roundtable of the same name, and provides an in-depth exploration of credit availability and lending patterns during the recession.
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New York City Quarterly Housing Update 2011: 2nd Quarter
In an analysis of second quarter housing indicators, the Furman Center finds that home sales volume declined 20 percent from the first to the second quarter of 2011, although home prices citywide held steady. The report also finds that new construction is slowly starting to return with 1,556 units authorized by new residential building permits between January and June 2010, compared with 1,703 units authorized in all of 2010.
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Mortgage Lending to Vulnerable Communities: A Closer Look at HMDA 2009
Across the U.S., the number of home purchase mortgages issued to low- and moderate-income borrowers jumped by 26 percent in 2009, even as overall home purchase lending declined, new research released by the Furman Center finds. The data brief, Mortgage Lending to Vulnerable Communities: A Closer Look at HMDA 2009, finds that lending to low- and moderate-income homebuyers increased nationwide in 2009, despite a reduction in the number of home purchase mortgages issued to higher income borrowers. Lending in low- and moderate-income neighborhoods, on the other hand, did not see a similar increase.
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The Role of Neighborhood Characteristics in Mortgage Default Risk: Evidence from New York City
We construct a database of non-prime hybrid adjustable and fixed rate mortgages from New York City that augments a rich set of loan and borrower risk characteristics with a variety of census tract level neighborhood characteristics. We find that these neighborhood characteristics are important for default behavior, even after an extensive set of controls. First, default rates increase with the rate of foreclosure notices and the number of lender-owned properties (REOs) in the tract. Second, default rates for home purchase mortgages are higher in predominantly black tracts, regardless of the borrower’s own race. We explore possible explanations for our findings.