1997
DOI: 10.2307/2525088
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Gender Differences in Days Lost from Work Due to Illness

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Cited by 99 publications
(103 citation statements)
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“…The findings of the present study are consistent with results from other countries which show that trade union membership and absence from work due to sickness are positively correlated (Leigh 1984, Vistnes 1997, Veliziotis 2010and Mastekaasa 2011. However, we can go a step further since the reform of sick pay in Germany in 1996 allows us to causally establish the impact of individual trade union membership on absence behaviour.…”
Section: Discussionsupporting
confidence: 91%
See 1 more Smart Citation
“…The findings of the present study are consistent with results from other countries which show that trade union membership and absence from work due to sickness are positively correlated (Leigh 1984, Vistnes 1997, Veliziotis 2010and Mastekaasa 2011. However, we can go a step further since the reform of sick pay in Germany in 1996 allows us to causally establish the impact of individual trade union membership on absence behaviour.…”
Section: Discussionsupporting
confidence: 91%
“…Using the University of Michigan's Quality of Employment Survey, either no correlation between individual membership and different absence indicators can be established (Leigh 1991), or a positive relationship between membership and being absent at all for blue collar workers (Leigh 1984). Vistnes (1997), using US data from the National Medical Expenditure Survey, observes membership to have a positive impact on absence among men. Looking beyond the United States, Böckerman and Ilmakunnas (2008) use the Finnish Quality of Work Life Survey and find, inter alia, that the number of illness-related absences is lower among union members than among non-members.…”
Section: Introductionmentioning
confidence: 99%
“…The first two models ((i) and (ii)) are estimated for men and women separately as the determinants of absence may be gender-specific (Leigh, 1983;Vistnes, 1997). The estimated coefficients of the commuting variables are not statistically different from each other.…”
Section: Robustness Checksmentioning
confidence: 99%
“…The literature on absence includes estimations of the e¤ects of individuals' health status: Paringer (1983) found perceived health status to be an important predictor of hours lost from work, which was supported by Primo¤ Vistnes (1997), who also reported statistically signi…cant e¤ects of obesity and smoking on the likelihood for women's absence. The literature also provides massive support for that economic incentives a¤ect absence, for example the following four studies using Swedish data; Johansson and Brännäs (1998); Palme (2002, 2005); Henrekson and Persson (2004).…”
Section: Introductionmentioning
confidence: 99%