We evaluate the effects of the lending institution and soft information on mortgage loan performance for low-income homebuyers. We find that even after controlling for bank selection, those who receive a loan from a local bank are significantly less likely to become delinquent or default than...

This paper increases understanding of the causes and consequences of discrimination in credit markets. It develops an underwriting model in which lenders use a simple Bayesian updating process to evaluate applicant creditworthiness. It also models individuals' self-selection behavior to show how...

An examination of how and why individual financial institutions vary in their propensity to attract and approve mortgage applications from minorities, using Home Mortgage Disclosure Act data.

A baseline evaluation of the variation in mortgage credit flows across different types of neighborhoods using HMDA data collected in 1990 and 1991.

A discussion of how mortgage lenders might use posted lending terms to signal both their eagerness to take new loan applications and their lending standards.

A lender-specific analysis of differences in minority and low-income mortgage loan originations using new applicant-level data gathered under the Home Mortgage Disclosure Act of 1975.

A documentation of racial and neighborhood differences in home mortgage denial rates using data collected under the Home Mortgage Disclosure Act, exploring the extent to which objective lending criteria are responsible for observed differences. The authors find persistent variations in denial...

In this paper, we consider the role of statistical analysis in fair-lending compliance examinations. We present a case study of an actual fair-lending examination of a large mortgage lender, demonstrating how statistical techniques can be a valuable tool in focusing examiner efforts to either...