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Survival types with time-varying covariates (TVCs) are widely Utilized in the literature on credit history chance prediction. On the other hand, when these covariates are endogenous, the inclusion course of action has long been limited to methods for example lagging these variables or managing them as exogenous. That causes achievable biased estima
Survival models with time-various covariates (TVCs) are extensively Employed in the literature on credit history threat prediction. Nonetheless, when these covariates are endogenous, the inclusion technique has become limited to methods for example lagging these variables or managing them as exogenous. That results in feasible biased estimators (de