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Prediction Sick Level and Length of Leave Among Workers: A Hurdle Model Approach

dc.contributor.authorChiuchiarelli, Sera
dc.contributor.supervisorMorin, Louis Philippe
dc.date.accessioned2013-08-27T19:53:23Z
dc.date.available2013-08-27T19:53:23Z
dc.date.created2010
dc.date.issued2010
dc.description.abstractThis paper uses data from the Canadian Community Health Survey from 2003 and 2005 to investigate the determinants of sick leave. A two-step hurdle model is specified, involving a probit regression in part one and a zero-truncated negative binomial model i
dc.identifier.urihttp://hdl.handle.net/10393/25391
dc.language.isoen
dc.titlePrediction Sick Level and Length of Leave Among Workers: A Hurdle Model Approach

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