For every single HMDA listing boasts applicant race/ethnicity, sex, money, loan amount, result of the mortgage software (e
Historic Home loan Credit Chance
Historic home loan financing exposure was measured using HOLC people risk grades: (A) best (green), (B) nevertheless prominent (blue), (C) declining (yellow), and you can (D) hazardous (red).
Modern Mortgage Credit Bias
Current day racial, ethnic, and assets location-depending bias in mortgage credit models had been estimated for each HOLC community having fun with Real estate loan Disclosure Act (HMDA) study for the 20072013. grams., denial), and area (census region) of the property. Racial and you can cultural bias measures are projected while the chance ratio off assertion out of home financing app away from a black colored (or Hispanic) applicant compared to a white applicant using a good logistic regression design-depending, spatial selection strategy since the might have been revealed regarding the books (Beyer et al. 2016). Models manage to the applicant’s sex, and also the ratio of your amount borrowed into the applicant’s gross annual money. Location bias was estimated due to the fact possibility ratio out of assertion off home financing software to possess regional features (during the spatial filter), as opposed to the MSA total, adjusting towards applicant’s sex additionally the mortgage in order to earnings proportion. To use an excellent spatial filtering method, an effective grid from estimate factors is put round the each MSA, and you may a circular filter out increases, according to a specified endurance, discover investigation off multiple census tract centroids until a steady figure is projected for every grid area playing with logistic regression designs given for every single HMDA measure. Continue reading “For every single HMDA listing boasts applicant race/ethnicity, sex, money, loan amount, result of the mortgage software (e” »
+ Read more…