CREDIT SCORING MODELING WITH STATE-DEPENDENT SAMPLE SELECTION: A COMPARISON STUDY WITH THE USUAL LOGISTIC MODELING

Credit scoring and the sample selection bias

For creating or adjusting credit scoring rules, usually only the accepted applicant’s data and default information are available. The missing information for the rejected applicants and the sorting mechanism of the preceding scoring can lead to a sample selection bias. In other words, mostly inferior classification results are achieved if these new rules are applied to the whole population of a...

Sample selection bias in credit scoring models

Sample selection in credit-scoring models

We examine three models for sample selection that are relevant for modeling credit scoring by commercial banks. A binary choice model is used to examine the decision of whether or not to extend credit. The selectivity aspect enters because such models are based on samples of individuals to whom credit has already been given. A regression model with sample selection is suggested for predicting e...

مدل بندی مقادیر کرانی خسارت های بیمه درمان (مطالعه موردی شرکت بیمه ایران) modeling health insurance claims with extreme observations (the case study of iran insurance company

در مدل بندی خسارت های بیمه درمان، مخصوصاً زمانی که شامل خسارت های با مقادیر بالا باشد، توزیع هایی که به صورت مرسوم مورد استفاده قرار می گیرد پیش بینی های خوبی بر روی خسارت های پایین انجام می دهد درموردخسارت های بالا کاربرد خوبی ندارد. یکی شیوه جهت رفع این مشکل این است که فقط بررسی را روی خسارت های بالا انجام دهیم و آن ها را توسط تابع توزیع پارتو تعمیم یافته مدل بندی کنیم. که این نظریه توسط تئور...

the past hospitalization and its association with suicide attempts and ideation in patients with mdd and comparison with bmd (depressed type) group

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