This paper shows how internationally and intertemporally consistent information on sickness absence can be constructed from Labour Force Surveys, and describes some important features of data that we have generated using the Luxembourg Employment Study. We also analyse sickness absence rates by age, gender and other socio-economic characteristics of workers. These relationships prove to be similar across countries with widely differing mean rates of absence. In this dataset, workers with longer tenure tend to have higher absence rates even when age is controlled for. Absence is also positively correlated with higher usual hours of work.
We use administrative personnel records of a large British financial sector employer to investigate how workers' behaviour responds to remuneration differences and 'luck' in the promotion system. The main methodological innovation is the use of the early part of a panel dataset to construct an individual specific measure of the importance of luck in the promotion process. The measure of luck is used to analyse workers' behaviour in the later part of the panel.The substantive results should probably be treated with caution until confirmed by evidence from other firms and contexts. In a nutshell, we confirm that workers respond to larger remuneration spreads by working harder. They are not prepared to work so hard, though, if the promotion system operates in an unpredictable fashion.Our evidence also bears on behavioural differences between men and women, and between workers at different levels of the hierarchy. We are unable to detect any difference between men's and women's reactions to the incentives provided by pay and promotion. The large and robust gender differences displayed in the raw data are therefore not due to incentives. We need to look elsewhere for an explanation. Similarly large and robust differences in absence behaviour between different levels of the hierarchy are actually reversed when the effect of incentives is factored out.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.