Testing for zero-inflation in count series: application to occupational health

Y. Zhao, A. H. Lee, V. Burke and K. K. W. Yau

Journal of Applied Statistics, 2009, vol. 36, issue 12, 1353-1359

Abstract: Count data series with extra zeros relative to a Poisson distribution are common in many biomedical applications. A score test is presented to assess whether the zero-inflation problem is significant to warrant the analysis by the more complex zero-inflated Poisson autoregression model. The score test is implemented as a computer program in the Splus platform. For illustration, the test procedure is applied to a workplace injury series where many zero counts are observed due to the heterogeneity in injury risk and the dynamic population involved.

Keywords: occupational health; random effects; score test; workplace injuries; zero-inflation (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1080/02664760802653586

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