An analysis of cause of loss in comprehensive insurance under competing risks regression model

The purpose underlying the main aim of the present study is to apply the competing risks of survival analysis upon the comprehensive insurance practices, which -in itself- is a non-life insurance type. To serve for the purpose, a detailed insurance data set comprising seven explanatory variables that encompass 98,667 observations was taken into consideration. This data set stemmed from 2014 and was obtained from a private non-life insurance company. Factors that determine unsuccessfulness were measured by means of competing risk regression model. For each probable cause, estimates of cumulative incidence function were obtained separately. Moreover, by employing competing risks, the comparative effectiveness of causes had been investigated which would result in creating appropriate damages