. The linear logistic regression has developed into a standard calibration approach in the banking sector. With the advent … of machine learning techniques in the discriminatory phase of credit risk models, however, the standard calibration … critics with a target. Previous literature has converted the calibration problem into a regression task without any loss of …

We discuss the use of calibration techniques in economic models. Calibration contrasts with estimation in relying on … draw a distinction between the calibration methods used in dynamic macro models of the Kydland–Prescott type and micro … models of the Shoven–Whalley variety. We highlight the ways in which calibration techniques are evolving including double …