Scoring bank deposits that may go wrong- A case study

Open Access
Authors
Publication date 2000
Series Tinbergen Institute Discussion Paper, TI 2000-090/4
Number of pages 17
Publisher Amsterdam / Rotterdam: Tinbergen Institute
Organisations
  • Faculty of Economics and Business (FEB) - Amsterdam School of Economics Research Institute (ASE-RI)
Abstract A bank employs logistic regression with state-dependent sample selection to identify loans thatmay go wrong. Inspection shows that the logit model is inappropriate. A bounded logit model witha ceiling of (far) less than 1 fits the data much better.
Document type Working paper
Language English
Published at http://papers.tinbergen.nl/00090.pdf
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