| Can Vehicle Maintenance Records Predict Automobile Accidents? | |
|---|---|
| 學年 | 100 |
| 學期 | 1 |
| 出版（發表）日期 | 2011-09-13 |
| 作品名稱 | Can Vehicle Maintenance Records Predict Automobile Accidents? |
| 作品名稱（其他語言） | |
| 著者 | Shyi-Tarn Bair; Rachel J. Huang; Kili C. Wang |
| 單位 | 淡江大學保險學系 |
| 出版者 | Hoboken: Wiley-Blackwell Publishing, Inc. |
| 著錄名稱、卷期、頁數 | Journal of Risk and Insurance 79(2), pp.567–584 |
| 摘要 | This article proposes that vehicle maintenance records can provide useful information for predicting the probability that an owner will have an automobile accident. To test the hypothesis, we use a unique data set that is merged from an insurance company and a vehicle manufacturer in Taiwan. We find weak evidence to support our hypothesis. Among all the proxies for proper maintenance, we indicate that proper maintenance defined by the recommended kilometers is significantly negatively correlated with the loss probability in compulsory automobile liability insurance. The average loss probability decreases by 0.23 percent when the insured vehicle is properly maintained according to the recommended number of kilometers in the previous years, whereas the average loss probability for the overall sample is 0.49 percent. We further find that proper maintenance is insignificantly correlated with loss severity. |
| 關鍵字 | Maintenance Record;Automobile Insurance;Accident |
| 語言 | en |
| ISSN | 1539-6975 |
| 期刊性質 | 國外 |
| 收錄於 | SSCI |
| 產學合作 | |
| 通訊作者 | Rachel J. Huang |
| 審稿制度 | 否 |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/61253 ) |
| SDGS | 產業創新與基礎設施,減少不平等,負責任的消費與生產 |
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