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Survival models with time-various covariates (TVCs) are broadly Employed in the literature on credit history risk prediction. On the other hand, when these covariates are endogenous, the inclusion treatment is restricted to procedures which include lagging these variables or treating them as exogenous. That brings about attainable biased estimators

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Survival versions with time-varying covariates (TVCs) are widely used in the literature on credit danger prediction. Even so, when these covariates are endogenous, the inclusion treatment has been restricted to techniques for instance lagging these variables or managing them as exogenous. That leads to possible biased estimators (with regards to th

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