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This paper provides a statistical method to explore both absenteeism and presenteeism from the same data set. It allows us to elicit the link between these phenomena and then to put under light new evidence on them. We clarified the effect of several known variables (gender, age, cost of absence, etc.). Moreover, we were able to balance these effects on both absenteeism and presenteeism, which still remains uneasy when operating separate treatments.
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Bierla et al. (2012) studied this question.
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