New Evidence on the Determinants of Absenteeism Using Linked Employer-Employee Data
AbstractIn this paper, we provide new evidence on the determinants of absenteeism using the Workplace Employee Survey (WES) 1999-2002 from Statistics Canada. Our paper extends the typical labour-leisure model used to analyze the decision to skip work to include firm-level policy variables relevant to the absenteeism decision and uncerainty about the cost of absenteeism. It also provides a non-linear econometric model that explicitly takes into account the count nature of absenteeism data and unobserved heterogeneity at both the individual and firm level. Controlling for very detailed demographic, job and firm characteristics (including workplace practices), we find that dissatisfaction with contracted hours is a significant determinant of absence.
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Bibliographic InfoPaper provided by CIRPEE in its series Cahiers de recherche with number 0521.
Date of creation: 2005
Date of revision:
Absenteeism; Linked Employer-Employee Data; Unobserved Heterogeneity; Count Data Models;
Other versions of this item:
- Georges Dionne & Benoit Dostie, 2007. "New Evidence on the Determinants of Absenteeism Using Linked Employer-Employee Data," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 61(1), pages 108-120, October.
- Georges Dionne & Benoit Dostie, 2005. "New Evidence on the Determinants of Absenteeism Using Linked Employer-Employee Data," Cahiers de recherche 05-04, HEC Montréal, Institut d'économie appliquée.
- J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
- J29 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Other
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
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