This paper describes and evaluates the Federal Reserve System's recent
ly developed program designed to use HMDA data as a screening device f
or fair lending enforcement. The program is designed to identify insti
tutions showing potentially discriminatory patterns in their treatment
of minority mortgage applicants vis-a-vis nonminority applicants. The
program also selects specific loan files to pull for additional infor
mation in cases where a more comprehensive evaluation might be appropr
iate. This paper discusses the motivation behind the adoption of the p
rogram and its innovative ''matched-pair'' method and assesses its val
ue and potential shortcomings.