Credit Scoring And Its Applications By L C Thomas: Hot

The most “hot” yet dangerous application: using credit-like scores to predict recidivism (e.g., COMPAS) or tenant eviction risk. Thomas publicly criticized these as “category errors” because the base rate of the event is low (eviction) or the outcome definition is biased. He distinguishes between scoring for reversible short-term loans versus scoring for liberty or shelter . His voice is frequently cited in lawsuits challenging algorithmic bail decisions.

A persistent industry problem: You only have outcome data on approved applicants. How do you estimate risk for rejected ones? The book covers: credit scoring and its applications by l c thomas hot