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Analysis of Vehicle Theft: A Case Study in Malaysia using Functional Forms of Negative Binomial Regression Models |
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PP: 389-395 |
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Author(s) |
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Malina Zulkifli,
Noriszura Ismail,
Ahmad Mahir Razali,
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Abstract |
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| This paper proposes the application of the two well known models of negative binomial regression, namely the NB-1 and
the NB-2, and the functional form of negative binomial regression, namely the NB-P, for the analysis of vehicle theft crime. The
advantage of using the NB-P is that it parametrically nests both the NB-1 and the NB-2, and allows statistical tests of the NB-1 and the
NB-2 models against a more general alternative. In this study, the functional forms of negative binomial regression model were fitted
to vehicle theft crime data obtained and compiled from ten insurance companies in Malaysia. The results of this study indicate that
the risks of vehicle theft are higher for vehicles above eight years, vehicles above 1800 c.c., local vehicles and vehicles located in the
central area of Malaysia. |
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