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Working
Paper Series:
07.04
The Community Reinvestment Act: A Regression Discontinuity Analysis
Christopher R. Berry and Sarah L. Lee
http://www.harrisschool.uchicago.edu/faculty/web-pages/christopher-berry.asp
Abstract:
The Community Reinvestment Act (CRA) is the most important federal
legislation addressing the credit needs of low-income families and neighborhoods.
Enacted in 1977 in response to concerns about redlining, CRA established ?continuing
and affirmative obligations? for lenders to meet the credit needs of low- and moderateincome
(LMI) neighborhoods. Advocates point to nearly $1 trillion in CRA-eligible
lending and rapid growth in credit for minority and LMI borrowers as evidence that the
act has had a significant impact on its intended communities. However, critics counter
that other factors, such as technological changes and market restructuring, account for the
growth in lending to LMI markets, making CRA irrelevant. Existing empirical studies
have not disentangled convincingly the effects of the law from other social and economic
trends, and the controversy over CRA continues.
In this paper, we apply regression discontinuity analysis, a design that arguably is
stronger for causal inference than any other except a randomized experiment, to identify
the effects of CRA on lending to LMI individuals and neighborhoods. Specifically, the
regulation uses a strict cut-off of 80 percent of metropolitan area (MSA) median income
to identify LMI neighborhoods and individuals, loans to which count toward a lending
institution?s CRA performance rating. Using this RD design and a data set comprising
millions of mortgage applications from 1993 to 2003, we are able to distinguish the
causal effects of CRA from other (observable and unobservable) variables correlated with
residential lending rates. To preview our results, we find vanishingly small effects of
CRA on the outcomes we examine.
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