The construction of empirical credit scoring rules based on maximization principles

A-Tier
Journal: Journal of Econometrics
Year: 2010
Volume: 157
Issue: 1
Pages: 110-119

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We examine the econometric implications of the decision problem faced by a profit/utility-maximizing lender operating in a simple "double-binary" environment, where the two actions available are "approve" or "reject", and the two states of the world are "pay back" or "default". In practice, such decisions are often made by applying a fixed cutoff to the maximum likelihood estimate of a parametric model of the default probability. Following (Elliott and Lieli, 2007), we argue that this practice might contradict the lender's economic objective and, using German loan data, we illustrate the use of "context-specific" cutoffs and an estimation method derived directly from the lender's problem. We also provide a brief discussion of how to incorporate legal constraints, such as the prohibition of disparate treatment of potential borrowers, into the lender's problem.

Technical Details

RePEc Handle
repec:eee:econom:v:157:y:2010:i:1:p:110-119
Journal Field
Econometrics
Author Count
2
Added to Database
2026-01-25