Asian Americans for equality: A case study of strategies for expanding immigrant homeownership

Abstract

At a time when the overall homeownership rate in the United States is at a historic high, many groups still face severe hurdles in realizing the American dream. The public, private, and nonprofit sectors are working to address these barriers, and this article examines one nonprofit's activities. Asian Americans for Equality (AAFE) is a civil rights and housing organization providing homeownership and other services to Asian Americans, a group that often faces language, cultural, credit, and financial difficulties in achieving homeownership.

AAFE addresses these challenges by providing aggressive outreach through housing fairs and neighborhood publications; it offers homeownership education and counseling in a variety of languages and settings, secures multiple housing subsidies and develops affordable housing, and educates lenders on the employment and credit practices of the Asian community. AAFE thus helps tailor the complex web of activities required to expand homeownership to traditionally underserved—especially immigrant—populations.     

The Financial Viability of Housing for Mentally Ill Persons

Abstract

Although persons with serious mental illness experience significant unmet housing needs, basic information on how housing is successfully financed, developed, and operated for them is lacking. It is possible that standard housing rules of thumb may not apply to this population. (For example, community opposition may raise development costs.) This lack of information may be a stumbling block to policy makers, planners, and developers.

This article attempts to close the gap by examining the financial profile of 153 properties developed for persons with serious mental illness by five nonprofit housing corporations between 1988 and 1992. Our analysis suggests that although this housing may require more management attention, it is not fundamentally different from market‐rate housing for low‐income tenants. After more than 10 years, the nonprofit housing developers continue to thrive, and virtually all of the properties continue to serve persons with mental illness, demonstrating that such housing can be successfully developed and operated.     

From confrontation to collaboration? Banks,community groups,and the implementation of community reinvestment agreements

Abstract

Banks and other depository institutions have signed more than 300 community reinvestment agreements valued at $350 billion in the two decades since the passage of the Community Reinvestment Act (CRA). This article examines the effectiveness of negotiating CRA agreements in Chicago, Cleveland, Pittsburgh, and New Jersey. After describing the agreements and the procedures by which they are enforced, the article looks at their impact and discusses several factors that could limit implementation of CRA agreements in the future.

The findings suggest that CRA agreements are more effective in some areas than others. They seem most consistently successful in meeting their goals for mortgages, investments in low‐income housing tax credits, grant giving to community‐based organizations, and in opening (and keeping open) inner‐city bank branches. The future of CRA agreements is clouded by several factors, most notably the restructuring and consolidation of the financial service sector.     

The unavailability of information on insurance unavailability: Insurance redlining and the absence of geocoded disclosure data

Abstract

The availability of insurance in urban communities has long been a contested public policy issue. One of the central points of contention has been the value of publicly available data on the geographic distribution of property insurance policies. This debate has intensified since the Home Mortgage Disclosure Act, which requires geocoded disclosure of mortgage lending activity, was passed. A small number of states have required disclosure of limited data. But precisely what data are available has been unclear, and their utility has been debated.

This survey of all state insurance commissioners documents what is in fact the very limited availability of insurance disclosure data. Only eight states require any disclosure of geocoded data, and just four of them make company‐level data available to the public. Data from one of those states, Wisconsin, are used to show how such data could benefit insurers, consumers, and regulators.     

The potential and limitations of mortgage innovation in fostering homeownership in the United States

Abstract

This article presents an empirical analysis of mortgage innovation as a vehicle to enable renters, especially those from traditionally underserved populations, to realize home‐ownership. It examines the financial and underwriting criteria of a typology of mortgage products, from those adhering to historical standards to some of today's most liberal loans, and develops synthetic models to account for all direct purchase costs. These models are calibrated using 1995 data on renter demographic and financial characteristics from the Survey of Income and Program Participation.

Compared with historical mortgages, today's more innovative loans increase the number of renters who could hypothetically qualify for homeownership by at least a million and expand potential home‐buying capacity by $300 billion. Certain policies could greatly expand the potential gains. Nevertheless, even the most aggressive innovations can play only a limited role in efforts to deliver the material benefits of homeownership to underserved populations.     

Market factors affecting spatial heterogeneity among urban neighborhoods

Abstract

Institutional factors perpetuating segregation in urban neighborhoods— redlining by lenders and insurers, steering by brokers, and discrimination by owners—have attracted much attention recently. But natural market forces (demand, supply, and equilibrium price adjustment) can also create neighborhood heterogeneity in income, race, and housing characteristics.

This article establishes a framework to examine the market forces that create spatial clustering of households. On the demand side, differences in resident preferences and incomes lead to clustering; on the supply side, differences in cost functions, created by market specialization or location‐specific features, are important. Equilibrium price adjustment reinforces tendencies toward heterogeneity and leads to differential affordability patterns. Bid‐rent and other models of residential location, discrimination in urban housing markets, and the Tiebout model are discussed. A research agenda is proposed to measure neighborhood heterogeneity, isolate its influence on educational and employment opportunities, and evaluate policies for ameliorating its adverse effects.