Teachers' Sickness Absence in Primary Schools: A Panel Data Multilevel Analysis
This paper uses longitudinal employer–employee data and multilevel models to examine both observed and unobserved variation of the probability and length of certified and self-certified sickness absence for Norwegian primary school teachers. We argue that self-certified absences are particularly prone to moral hazard. We find that most of the observed teacher, school and municipality characteristics are significantly associated with the probability and the length of sickness absence. However, most of the unexplained variation is attributed to teacher factors rather than influenced by variation at the school or municipality levels. Teacher characteristics that may be associated with less attachment to the workplace increase the probability of self-certified absences. Moreover, the unexplained variation in schools and at municipality level is higher for self-certified than for certified sickness absence. There may be some scope for reducing self-certified absence by improving work conditions or changing administrative practices, but our main policy conclusion is that to reduce sickness absence, the main focus must be on individual health and the incentives to report sick.
|Date of creation:||01 Jun 2010|
|Contact details of provider:|| Postal: Institutt for økonomi, Universitetet i Bergen, Postboks 7802, 5020 Bergen, Norway|
Web page: http://www.uib.no/econ/en
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Sophia Rabe-Hesketh & Anders Skrondal, 2012. "Multilevel and Longitudinal Modeling Using Stata, 3rd Edition," Stata Press books, StataCorp LP, edition 3, number mimus2, January.
When requesting a correction, please mention this item's handle: RePEc:hhs:bergec:2010_001. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Kjell Erik Lommerud)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.