Code: The Stratifying Role of Job level for Sickness Absence and the Moderating Role of Gender and Occupational Gender Composition

DOI

This upload contains the syntax to reproduce the results published in the related article. The data is not published, but the data necessary to reproduce the analyses can be accessed by any researcher after signing a user contract: https://www.diw.de/en/diw_02.c.222518.en/research_data_center_of_the_soep.html

Persönliches Interview

Face-to-face interview

Among the German household population: The sample is restricted in the following way: We exclude the self-employed, persons in vocational or educational training, all employees in the public sector, all those younger than 18 or older than 64, and all those who are not currently employed. We focus on employees from the private sector because, in the public sector, rules regulating promotions are more bureaucratic and job security is much stronger. Therefore, the link between sickness absence and job level will not follow the theory outlined in this paper and cannot be compared to the private sector. Lastly, all observations with missing values on sickness absence or any of the predictors are excluded, as other forms of treatment of missing values are currently not supported by the method implemented in this study. The restrictions result in a sample of 16,384 individuals and 87,573 observations.

Stratified random sampling

Identifier
DOI https://doi.org/10.7802/1494
Metadata Access https://api.datacite.org/dois/10.7802/1494
Provenance
Creator Kröger, Hannes
Publisher GESIS Data Archive
Publication Year 2017
Rights CC BY-NC-SA 4.0
OpenAccess true
Representation
Resource Type Dataset
Format application/octet-stream; application/zip
Size 107042; 9069; 6791
Version 1
Discipline Social Sciences
Spatial Coverage Deutschland / DE; Germany / DE