2013
DOI: 10.1086/669185
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Risk Heterogeneity and Credit Supply: Evidence from the Mortgage Market

Abstract: This paper uses a unique data set on more than 600,000 mortgage contracts to estimate a credit supply function which allows for riskheterogeneity. Non-linearity is modeled using quantile regressions. We propose an instrumental variable approach in which changes in the tax treatment of housing transactions are used as an instrument for loan demand. The results are suggestive of considerable risk heterogeneity with riskier borrowers penalized more for borrowing more.JEL Classification: D10, E21, G21

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Cited by 10 publications
(13 citation statements)
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“…Finally, the greater the spread, the higher the foreclosures‐to‐population ratio was. This finding is consistent with a common bank practice of using higher differentials to compensate higher LTV ratios (Besley et al ). Nevertheless, in the present case, the evidence at the individual level was weak and only for mortgages that used the Euribor as a benchmark interest rate.…”
Section: Conclusion and Discussionsupporting
confidence: 90%
“…Finally, the greater the spread, the higher the foreclosures‐to‐population ratio was. This finding is consistent with a common bank practice of using higher differentials to compensate higher LTV ratios (Besley et al ). Nevertheless, in the present case, the evidence at the individual level was weak and only for mortgages that used the Euribor as a benchmark interest rate.…”
Section: Conclusion and Discussionsupporting
confidence: 90%
“…The mortgage interest rate R M i also differs across individuals because it is determined by both the prevailing market rates and the borrower's characteristics, in particular the LTV-ratio of the mortgage (see evidence in Besley et al, 2013;Best et al, 2015).…”
Section: Assumptionsmentioning
confidence: 99%
“…In our empirical work, we proxy for the extent of an individual's mortgage burden by using the LTV on the outstanding loan. The evidence in Besley et al (2013) and Best et al (2015) shows that a borrower's LTV is among the most important determinants of the interest rate charged by the lender. Therefore our proxy captures the joint effect of M 0i and R M i…”
Section: Comparative Staticsmentioning
confidence: 99%
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“…However, these data do not provide a measure of borrowers’ credit risk. In the United Kingdom, there is no single measure of credit risk that is widely used such as the FICO score (Besley, Meads, and Surico ()). Different lenders therefore construct and use different credit risk measures, and there is a lack of transparency with respect to how such measures are calculated and used.…”
Section: The Datamentioning
confidence: 99%