Tag Archives: credit rationing

Borrowing Constraints and The Homeownership Rate

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photo by Victor

Arthur Acolin, Jess Bricker, Paul Calem and Susan Wachter have posted a short paper on Borrowing Constraints and Homeownership to SSRN. The abstract reads,

This paper identifies the impact of borrowing constraints on home ownership in the U.S. in the aftermath of the 2008 financial crisis. The existence of credit rationing in the U.S. mortgage market means that some households for whom it would be optimal to choose to be homeowners may not be able to do so. Borrowers with certain wealth, income and credit characteristics are unable to obtain a loan even if they are willing to pay a higher cost of credit (Linneman and Wachter 1989). The Stiglitz and Weiss (1981) canonical model sets up the rationale for this credit rationing. Using data from the 2001, 2004-2007 and 2010-2013 Surveys of Consumer Finance (SCF), this paper measures the impact of changes in the income, wealth and credit constraints on the probability of home ownership. Credit supply eased and then became considerably more restricted in the wake of the Great Recession. The loosening of borrowing constraints was accompanied by an increase in home ownership from the late 1990s until the start of the housing crisis. In this paper we estimate the role the tightening of credit has had on the probability of individual households to become homeowners and the decline in the aggregate home ownership rate following the crisis. The home ownership rate in 2010-2013 is predicted to be 5.2 percentage points lower than it would be if the constraints were at the 2004-2007 level and 2.3 percentage points lower than if the constraints were set at the 2001 level.

This paper builds on some of the other work of the authors (see here for instance) on the homeownership rate. The paper makes a valuable contribution by estimating the impact of credit rationing on the homeownership rate. To the extent we can identify an optimal amount of credit supply, it should help us to determine a target homeownership rate to guide policymakers.

CFPB Strategy on Mortgage Data

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The CFPB released its Strategic Plan, Budget, and Performance Plan and Report which provides a good summary of what the Bureau has done to date. I was particularly interested in this summary of its work to build a representative database of mortgages:

In FY 2013, the CFPB began a partnership with the Federal Housing Finance Agency (FHFA) to build the National Mortgage Database (NMDB). This work continues in FY 2014. For this database, the FHFA and the Bureau have procured (from a credit reporting agency) credit information with respect to a random and representative sample of 5% of mortgages held by consumers. The NMDB is the first dataset that will provide a truly representative sample of mortgages so as to allow analysis of mortgages over the life of the loans, including firsts, seconds, and home equity loans.

In all of the data used for its analyses, the Bureau will work to ensure that strong protections are in place around personally identifiable information. (66)

Such a database (assuming privacy concerns are adequately addressed) will be an invaluable tool for the Bureau (and researchers too, to the extent that they are allowed to access it). One question that the Strategic Plan does not answer is how fresh will the mortgage data be. The mortgage market can innovate at warp speed, as it did in the mid-2000s, so it will be important for the CFPB database to be as current as possible and accessible to researchers as quickly as possible. That being said, even if the data is a bit stale, it will still provide invaluable guidance regarding abusive behaviors in the market. It should also provide guidance regarding a lack of sustainable credit in the market generally as well as within those communities that have historically suffered from such a lack, low- and moderate-income communities as well as communities of color.

On a separate note, I would say that the Strategic Plan makes some assumptions about the efficacy of financial education that should probably be studied carefully. There is a lot of research that challenges the usefulness of financial education. The Bureau should grapple with that research before it invests heavily in financial education implementation.