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Survival models with time-different covariates (TVCs) are greatly Employed in the literature on credit risk prediction. However, when these covariates are endogenous, the inclusion technique continues to be limited to practices which include lagging these variables or dealing with them as exogenous. That causes possible biased estimators (based on
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The inclusion of your time-various covariates into survival Examination has led to raised predictions of time to default in behavioural credit score scoring products. Nevertheless, when these time-varying covariates are endogenous, there are two big complications: estimation bias from the survival design and deficiency of a prediction framework for
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