Bias in estimates of discrimination and default in mortgage lending: the effects of simultaneity and self-selection
The common practices of estimating single-equation models of mortgage rejection to test for discrimination in mortgage markets or single-equation ex ante mortgage default equations to validate underwriting criteria produce biased and inconsistent parameter estimates. This is due to problems of simultaneous equations bias which arise because, in a world of imperfect information, mortgage terms are not exogenous to the rejection or default decision. In addition, mortgage default estimates are also subject to selection bias. Monte Carlo experiments are used to study the nature and extent of likely bias in single-equation estimation results. We find that rejection equation estimates indicate discrimination when none exists and that estimated coefficients of mortgage terms, such as the loan-to-value ratio, are also subject to significant bias in both rejection and default equations. Copyright 1994 by Kluwer Academic Publishers
(This abstract was borrowed from another version of this item.)
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Volume (Year): (1994)
Issue (Month): ()
|Contact details of provider:|| Postal: 10 Independence Mall, Philadelphia, PA 19106-1574|
Web page: http://www.philadelphiafed.org/
More information through EDIRC
|Order Information:|| Web: http://www.phil.frb.org/publicaffairs/pubs/index.html Email: |
When requesting a correction, please mention this item's handle: RePEc:fip:fedppr:y:1994:p:197-222. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Beth Paul)
If references are entirely missing, you can add them using this form.