Estimating the Critical Parameter in Almost Stochastic Dominance from Insurance Deductibles
學年 108
學期 1
發表日期 2019-08-04
作品名稱 Estimating the Critical Parameter in Almost Stochastic Dominance from Insurance Deductibles
作品名稱（其他語言）
著者 Yi-Chieh Huang; Kamhon Kan; Larry Y. Tzeng; Kili C. Wang
作品所屬單位
出版者
會議名稱 American Risk and Insurance Association 2019 Annual Meeting
會議地點 舊金山, 美國
摘要 Knowing how small violation individuals would accept against stochastic dominancerules is a prerequisite for applying almost stochastic dominance criteria. Different fromprevious results obtained by experiments, this paper estimates acceptable violation againststochastic dominance rules with 940,904 observations of real data on a deductible choiceof automobile theft insurance. We find that for all policyholders in the sample who chose a low deductible, the upper bound estimate of acceptable violation ratio is 8.198−08 which is close to zero. On the other hand, considering most decision makers, such as 99% (95%) of the policyholders in the sample, who chose the low deductible, the upper bound estimate of the acceptable violation ratio is 0.0399 (0.0727). Our results provide reference values of the acceptable violation ratio and justification for applying almost stochastic dominance rules.
關鍵字 stochastic dominance;generalized almost second-degree stochastic domi- nance;preference parameter;automobile theft insurance;deductible
語言 en
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20190804~20190807
通訊作者
國別 USA
公開徵稿
出版型式
出處
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/117563 )

SDGS 產業創新與基礎設施,減少不平等,和平正義與有力的制度