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Modeling Count Data with Excess Zeroes

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  • Hoong Chor Chin
  • Mohammed Abdul Quddus

Abstract

There are many studies in social sciences, such as traffic accident analysis, in which the event counts may be characterized by a large number of zero observations. In this article, a proposed model that takes into account both the zero-count state and the nonzero-count state is used to describe the traffic accident phenomenon. The probability of the zero-count state (p) and the mean number of event counts (µ) in the non-zero-count state may depend on the covariates. Sometimes, p and µ are unrelated, while at other times, p may assume a simple function of µ.In proposing the model, different types of traffic accidents at signalized intersections in Singapore were investigated. The results demonstrate that the zero-altered probability process is an appropriate technique for modeling specific types of accidents in which the data contain many zero counts.

Suggested Citation

  • Hoong Chor Chin & Mohammed Abdul Quddus, 2003. "Modeling Count Data with Excess Zeroes," Sociological Methods & Research, , vol. 32(1), pages 90-116, August.
    • Handle: RePEc:sae:somere:v:32:y:2003:i:1:p:90-116
    DOI: 10.1177/0049124103253459
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    References listed on IDEAS

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