2015
DOI: 10.1016/j.labeco.2015.02.004
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Trade union membership and sickness absence: Evidence from a sick pay reform

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 21 publications
(10 citation statements)
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“…Studies on the US, for example, find that union-covered workers have higher absence rates than non-covered workers in the same firms (Allen, 1984; Chaudhury and Ng, 1992; Leigh, 1981). Similarly, studies on unionised workers in the United Kingdom (Veliziotis, 2010), Canada (Tompa et al, 2011), Norway (Mastekaasa, 2013) and Germany (Goerke and Pannenberg, 2015) confirm an absence-increasing union effect.…”
Section: Relevant Literaturementioning
confidence: 84%
“…Studies on the US, for example, find that union-covered workers have higher absence rates than non-covered workers in the same firms (Allen, 1984; Chaudhury and Ng, 1992; Leigh, 1981). Similarly, studies on unionised workers in the United Kingdom (Veliziotis, 2010), Canada (Tompa et al, 2011), Norway (Mastekaasa, 2013) and Germany (Goerke and Pannenberg, 2015) confirm an absence-increasing union effect.…”
Section: Relevant Literaturementioning
confidence: 84%
“…Since absence is negatively related to health (Puhani andSonderhoff, 2010 andPannenberg, 2015; for example, present according evidence for Germany), the impact of commuting on absence may be due to health effects. To accommodate this possibility, the estimations presented thus far include a subjective measure of health.…”
Section: Transmission Channelsmentioning
confidence: 99%
“…Other works used the days out of work as a count variable and applied count data models (Delgado & Kniesner, 1997 ; Frick & Malo, 2008 ; Lechmann & Schnabel, 2014 ) or zero-inflated negative binomial models (Mukuria et al, 2017 ). There are also some studies that gauged on how changes in legislation affected sick leave duration using natural experiments (Goerke & Pannenberg, 2015 ; Meyer et al, 1995 ; Ziebarth & Karlsson, 2010 ). Fortin and Lanoie ( 2000 ) presented a detailed discussion on the different estimation methods within this context.…”
Section: Methodsmentioning
confidence: 99%