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

Version
1
Resource Type
Dataset
Creator
  • Kröger, Hannes (Socio-Economic Panel Study (SOEP), German Institute for Economic Research (DIW), Berlin)
Publication Date
2017
Description
  • Abstract

    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
Temporal Coverage
  • 2002-01-01 / 2014-12-31
  • 2002-01-01 / 2014-12-31
Geographic Coverage
  • Germany / DE
Sampled Universe
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.
Sampling
Stratified random sampling
Collection Mode
    • Face-to-face interview
    • Face-to-face interview
Data and File Information
    • File Name: ET_Berufe-Dreisteller_93-11.csv
      File Format: application/octet-stream
      File Size: 107042
      Data Fingerprint: 0e172f38a74c08c8f699e8066e236c75
      Method Fingerprint: MD5
    • File Name: ET_Berufe-Dreisteller_93-11.csv
      File Format: application/octet-stream
      File Size: 107042
      Data Fingerprint: 0e172f38a74c08c8f699e8066e236c75
      Method Fingerprint: MD5
    • File Name: Kroger-SSM-Code.zip
      File Format: application/zip
      File Size: 9069
      Data Fingerprint: dd23c7c8b35b8ba3e38f7946c58b21bd
      Method Fingerprint: MD5
    • File Name: Kroger-SSM-Code.zip
      File Format: application/zip
      File Size: 9069
      Data Fingerprint: dd23c7c8b35b8ba3e38f7946c58b21bd
      Method Fingerprint: MD5
    • File Name: Kroger-SSM-R-Code.zip
      File Format: application/zip
      File Size: 6791
      Data Fingerprint: 2430b0da7511dab792117aac775006fb
      Method Fingerprint: MD5
    • File Name: Kroger-SSM-R-Code.zip
      File Format: application/zip
      File Size: 6791
      Data Fingerprint: 2430b0da7511dab792117aac775006fb
      Method Fingerprint: MD5
Availability
Download
Free Access (without Registration)
Rights
CC BY-NC-SA 4.0
Publications
  • Hannes Kröger, The stratifying role of job level for sickness absence and the moderating role of gender and occupational gender composition, Social Science & Medicine, Volume 186, August 2017, p. 1-9;doi: 10.1016/j.socscimed.2017.05.045

Update Metadata: 2019-10-01 | Issue Number: 2 | Registration Date: 2017-07-07

Kröger, Hannes (2017): Code: The Stratifying Role of Job level for Sickness Absence and the Moderating Role of Gender and Occupational Gender Composition. Version: 1. GESIS Datenarchiv. Dataset. https://doi.org/10.7802/1494