Susan M. Wachter

The Impacts of Borrowing Constraints on Homeownership

This paper utilizes microdata to directly quantify the impact of mortgage underwriting criteria on individual homeownership propensities. To determine whether a family is constrained by these criteria, the optimal home purchase price is estimated. The results indicate that wealth and income constraints both reduce homeownership propensities, with a stronger impact for wealth constraints. Mortgage market innovations of the early 1980s seem to have reduced these effects. The research indicates, however, that even in well-developed capital markets, the presence of borrowing constraints adversely affects homeownership propensities. Copyright American Real Estate and Urban Economics Association.

The American Mortgage in Historical and International Context

Home mortgages have loomed continually larger in the financial situation of American households. In 1949, mortgage debt was equal to 20 percent of total household income; by 1979, it had risen to 46 percent of income; by 2001, 73 percent of income (Bernstein, Boushey and Mishel, 2003). Similarly, mortgage debt was 15 percent of household assets in 1949, but rose to 28 percent of household assets by 1979 and 41 percent of household assets by 2001. This enormous growth of American home mortgages, as shown in Figure 1 (as a percentage of GDP), has been accompanied by a transformation in their form such that American mortgages are now distinctively different from mortgages in the rest of the world. In addition, the growth in mortgage debt outstanding in the United States has closely tracked the mortgage markets increased reliance on securitization (Cho, 2004). The structure of the modern American mortgage has evolved over time. We begin by describing this historical evolution. The U.S. mortgage before the 1930s would be nearly unrecognizable today: it featured variable interest rates, high down payments and short maturities. Before the Great Depression, homeowners typically renegotiated their loans every year. We next compare the form of U.S. home mortgages today with those in other countries. The U.S. mortgage provides many more options to borrowers than are commonly provided elsewhere: American homebuyers can choose whether to pay a fixed or floating rate of interest; they can lock in their interest rate in between the time they apply for the mortgage and the time they purchase their house; they can choose the time at which the mortgage rate resets; they can choose the term and the amortization period; they can prepay freely; and they can generally borrow against home equity freely. They can also obtain home mortgages at attractive terms with very low down payments. We discuss the nature of the U.S. government intervention in home mortgage markets that has led to the specific choices available to American homebuyers. We believe that the unique characteristics of the U.S. mortgage provide substantial benefits for American homeowners and the overall stability of the economy.

On Choosing Among House Price Index Methodologies

This paper compares housing price indices estimated using three models with several sets of property transaction data. The commonly used hedonic price model suffers from potential specification bias and inefficiency, while the weighted repeat-sales model presents potentially more serious bias and inefficiency problems. A hybrid model combining hedonic and repeat-sales equations avoids most of these sources of bias and inefficiency. This paper evaluates the performance of each type of model using a particularly rich local housing market database. The results, though ambiguous, appear to confirm the problems with the repeat sales model but suggest that systematic differences between repeat-transacting and single-transacting properties lead to bias in the hedonic and hybrid models as well. Copyright American Real Estate and Urban Economics Association.

The Role of Speculation in Real Estate Cycles

Our study investigates the role of speculation in real estate cycles. We find that even a simple model of lagged supply response to price changes and speculation is sufficient to generate real estate cycles. Second, the volatility of prices – the biggest purported downside of “speculation” – is strongly related to supply conditions. Even more interestingly, the effect of speculation itself depends on supply conditions. Markets with more responsive regulatory environments, or less natural constraint (from physical geography), will experience less volatility as well as less behavior characterized as speculation. Demand conditions in general, and speculation in particular, can contribute to a boom and bust cycle in housing and real estate markets – but the effects of speculation appear to be dominated by the effect of the price elasticity of supply. In fact, the largest effects of speculation are only observed when supply is inelastic. Thus effective policies will focus on improving the efficiency of the supply of developable land, and real estate generally, including the development of an appropriate regulatory framework for real estate.

The Neighborhood Distribution of Subprime Mortgage Lending

Subprime lending in the residential mortgage market, characterized by relatively high credit risk and interest rates or fees, has developed over the past decade into a prominent segment of the market (Temkin, 2000). Recent research indicates that there is geographical concentration of subprime mortgages in Census tracts where there are high concentrations of low-income and minority households. The growth in subprime lending represents an expansion in the supply of mortgage credit among households who do not meet prime market underwriting standards. Nonetheless, its apparent concentration in minority and lower income neighborhoods has generated concerns that these households may not be obtaining equal opportunity in the prime mortgage market. Such lending may undermine revitalization to the extent that it is associated with so-called predatory practices.

The impacts of affordable lending efforts on homeownership rates

Abstract In this study, we develop and test a methodology to assess the impact of affordable lending efforts on homeownership rates. More narrowly, we examine the impact of using flexible underwriting guidelines, primarily changes in the down payment and housing burden requirements, on the affordability and homeownership propensities of targeted populations and geographic areas. The impacts of changing these underwriting guidelines are compared with those resulting from lower borrowing costs (interest rates). A variation of the methodology first proposed by Wachter et al. (1996) is used in the analysis. We use the 1995 American Housing Survey (AHS) national core in the analysis. The findings indicate that affordable lending efforts are likely to increase homeownership opportunities for underserved populations, but that impacts may not be felt equally by all groups. Under most affordable products, the impacts on all households, recent movers and central city households are smaller than for other households. The recently introduced affordable products which permit the 3% down payment to come from non-borrower sources, e.g., Freddie Mac’s Alt 97, has the largest impact on the homeownership propensities of all underserved groups, including a 27.1% increase in the relative probability of homeownership for young households, a 21.0% increase for blacks, and a 15.0% increase for central city residents. Consistently, changes in underwriting guidelines are found to have greater impacts than changes in the costs of borrowing for all groups.

The differential impacts of federally assisted housing programs on nearby property values: A philadelphia case study

Abstract Prior research has found negative impacts of public housing on neighborhood quality. Few studies have examined the impact of public and other assisted housing programs on real estate prices, particularly differential impact by program type. In this study, federally assisted housing units by program type are aggregated by 1/8‐ or 1/4‐mile radii around individual property sales and regressed on sales prices from 1989 through 1991, controlling for area demographic, housing, and amenity variables. Results show that public housing developments exert a modest negative impact on property values. Scattered‐site public housing and units rented with Section 8 certificates and vouchers have slight negative impacts. Federal Housing Administration—assisted units, public housing homeownership program units, and Section 8 New Construction and Rehabilitation units have modest positive impacts. Low‐Income Housing Tax Credit sites have a slight negative effect. Results suggest that homeownership programs and new c...

Explaining the Housing Bubble

There is little consensus as to the cause of the housing bubble that precipitated the financial crisis of 2008. Numerous explanations exist: misguided monetary policy; a global savings surplus; government policies encouraging affordable homeownership; irrational consumer expectations of rising housing prices; inelastic housing supply. None of these explanations, however, is capable of fully explaining the housing bubble. This Article posits a new explanation for the housing bubble. First, it demonstrates that the bubble was a supply-side phenomenon attributable to an excess of mispriced mortgage finance: mortgage-finance spreads declined and volume increased, even as risk increased—a confluence attributable only to an oversupply of mortgage finance. Second, it explains the mortgage-finance supply glut as resulting from the failure of markets to price risk correctly due to the complexity, opacity, and heterogeneity of the unregulated private-label mortgage-backed securities (PLS) that began to dominate the market in 2004. The rise of PLS exacerbated informational asymmetries between the financial institutions that intermediate mortgage finance and PLS investors. These intermediation agents exploited informational asymmetries to encourage overinvestment in PLS that boosted the financial intermediaries’ volume-based profits and enabled borrowers to bid up housing prices. This Article proposes the standardization of PLS as an information-forcing device. Reducing the complexity and heterogeneity of PLS would facilitate accurate risk pricing, which is necessary to rebuild a sustainable, stable housing-finance market.

Subprime Lending and Real Estate Prices

This article establishes a theoretical and empirical link between the use of aggressive mortgage lending instruments, such as interest-only, negative-amortization or subprime mortgages, and the underlying house prices. Such instruments, which come into existence through innovation or financial deregulation, allow more borrowing than otherwise would occur in previously affordability-constrained markets. Within the context of a model with an endogenous rent-buy decision, we demonstrate that the supply of aggressive lending instruments temporarily increases the asset prices in the underlying market because agents find it more attractive to own or because their borrowing constraint is relaxed, or both. This result implies that the availability of aggressive mortgage lending instruments magnifies the real estate cycle and the effects of fundamental demand shocks. We empirically confirm the predictions of the model using recent subprime origination experience. In particular, we find that regions that receive a high concentration of aggressive lending instruments experience larger price increases and subsequent declines than areas with low concentration of such instruments. This result holds in the presence of various controls and instrumental variables.

Anisotropic Autocorrelation in House Prices

This article examines anisotropic spatial autocorrelation in single-family house prices and in hedonic house-price equation residuals using a spherical semivariogram and transactions data for one county in the Philadelphia, Pennsylvania, MSA. Isotropic semivariograms model spatial relationships as a function of the distance separating properties in space. Anisotropic semivariograms model spatial relationships as a function of both the distance and the direction separating observations in space. The goals of this article are (1) to determine whether there is spatial autocorrelation in hedonic house-price equation residuals and (2) to empirically examine the validity of the isotropy assumption. We estimate the parameters of spherical semivariograms for house prices and for hedonic house-price equation residuals for 21 housing submarkets within Montgomery County, Pennsylvania. These housing submarkets are constructed by dividing the county into 21 groupings of economically similar adjacent census tracts. Census tracts are grouped according to 1990 census tract median house prices and according to characteristics of the housing stock. We fit the residuals of each submarket hedonic house price equation to both isotropic and anisotropic spherical semivariograms. We find evidence of spatial autocorrelation in the hedonic residuals in spite of a very elaborate hedonic specification. Additionally, we have determined that, in some submarkets, the spatial autocorrelation in the hedonic residuals is anisotropic rather than isotropic. The empirical results suggest that the spatial autocorrelation in Montgomery County single-family house-price equation residuals is anisotropic in submarkets where residents typically commute to a regional or local central business district.