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In September 2005, the Federal Reserve Board will disclose pricing data on higher cost loans with respect to applicant race, ethnicity, gender and income status. This new pricing information, in the officially filed HMDA data, will be used to monitor mortgage lending practices and assist in identifying possible discriminatory pricing patterns. This paper presents a systematic approach for statistical analysis of HMDA pricing data. You will learn how an effective and powerful method to detect statistically significant pricing disparities amongst various groups is beneficial for lending institutions. The method described in this paper can be applied to HMDA filing data and a broader set of information including additional applicant and transaction information, credit bureau data, and credit underwriting and pricing policies.