Can Vehicle Maintenance Records Predict Automobile Accidents?

Shyi Tarn Bair, Rachel J. Huang, Kili C. Wang

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)567-584
Number of pages18
JournalJournal of Risk and Insurance
Volume79
Issue number2
DOIs
StatePublished - Jun 2012

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