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Can vehicle maintenance records predict automobile accidents?

Recurso electrónico / electronic resource
MARC record
Tag12Value
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001  MAP20120031173
003  MAP
005  20120710151833.0
008  120705e20120604esp|||p |0|||b|spa d
040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎322
1001 ‎$0‎MAPA20120018204‎$a‎Bair, Shyi-Tarn
24510‎$a‎Can vehicle maintenance records predict automobile accidents?‎$c‎Shyi-Tarn Bair, Rachel J. Huang, Kili C. Wang
520  ‎$a‎This 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.
650 1‎$0‎MAPA20080586546‎$a‎Nuevas tecnologías
650 1‎$0‎MAPA20080614942‎$a‎Prevención de accidentes
650 1‎$0‎MAPA20080599751‎$a‎Accidentes de tráfico
650 1‎$0‎MAPA20080603779‎$a‎Seguro de automóviles
650 1‎$0‎MAPA20080616106‎$a‎Cálculo de probabilidades
650 1‎$0‎MAPA20080556730‎$a‎Telemática
650 1‎$0‎MAPA20080566326‎$a‎Mantenimiento
700  ‎$0‎MAPA20080662981‎$a‎Huang, Rachel J.
700  ‎$0‎MAPA20100034200‎$a‎Wang, Kili C.
7730 ‎$w‎MAP20077000727‎$t‎The Journal of risk and insurance‎$d‎Nueva York : The American Risk and Insurance Association, 1964-‎$x‎0022-4367‎$g‎04/06/2012 Volumen 79 Número 2 - junio 2012 , p. 567-587