Modelling zero-inflated count data when exposure varies: with an application to sick leave
This paper is concerned with the analysis of zero-inflated count data when time of exposure varies. It proposes a new zero-inflated count data model that is based on two homogeneous Poisson processes and accounts for exposure time in a theory consistent way. The new model is used in an application to the effect of insurance generosity on the number of absent days.
|Date of creation:||Feb 2012|
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- Kevin E. Staub & Rainer Winkelmann, 2013.
"Consistent Estimation Of Zero‐Inflated Count Models,"
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- Kevin E. Staub & Rainer Winkelmann, 2009. "Consistent estimation of zero-inflated count models," SOI - Working Papers 0908, Socioeconomic Institute - University of Zurich, revised Aug 2011.
- Street, Andrew & Jones, Andrew & Furuta, Aya, 1999. "Cost-sharing and pharmaceutical utilisation and expenditure in Russia," Journal of Health Economics, Elsevier, vol. 18(4), pages 459-472, August.
- Treble,John & Barmby,Tim, 2011. "Worker Absenteeism and Sick Pay," Cambridge Books, Cambridge University Press, number 9780521806954.
- Barmby, Tim & Nolan, Michael & Winkelmann, Rainer, 2001. "Contracted Workdays and Absence," Manchester School, University of Manchester, vol. 69(3), pages 269-275, June. Full references (including those not matched with items on IDEAS)
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