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

Yıl 2018, Cilt: 11 Sayı: 1, 1 - 12, 29.06.2018

Murat Kırkağaç Durdu Karasoy

Öz

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.

Anahtar Kelimeler

Survival analysis, Competing risks regression model, Cumulative incidence function, Comprehensive insurance

Kasko sigortasında hasar nedenlerinin yarışan riskler regresyon modeli ile analizi

Öz

Bu çalışmanın
altında yatan temel amaç; yaşam çözümlemesinde yarışan riskleri, aslında bir
hayat dışı sigorta türü olan kasko sigortasına uygulamaktır. Bu amaca
hizmet etmek için, 98.667 tane gözlemi kapsayan yedi tane açıklayıcı değişkeni
içeren kapsamlı bir sigorta veri seti göz önünde bulundurulmuştur. Bu veri seti
2014 yılından gelmiş olup, özel bir hayat dışı sigorta şirketinden alınmıştır. Başarısızlığı
etkileyen faktörler yarışan riskler regresyon modeli aracılığıyla ölçülmüştür.
Birikimli etki fonksiyonunun tahminleri, her olası neden için ayrı ayrı elde
edilmiştir. Buna ek olarak, nedenlerin karşılaştırmalı etkinliği uygun
hasarların oluşmasıyla sonuçlanacak şekilde, yarışan riskler kullanılarak incelenmiştir.

Anahtar Kelimeler

Yaşam çözümlemesi, Yarışan riskler regresyon modeli, Birikimli etki fonksiyonu, Kasko sigortası

Kaynakça

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