Data News, GESIS - Data Archive

GESIS - Data Archive - Data News

  • 7 Jul 2017 13:29 Top News
    datorium: 'Code: The Stratifying Role of Job level for Sickness Absence and the Moderating Role of Gender and Occupational Gender Composition' available

  • Scripts and data from the study 'Code: The Stratifying Role of Job level for Sickness Absence and the Moderating Role of Gender and Occupational Gender Composition' are now available with DOI 10.7802/1494 at GESIS - Data Archive for the Social Sciences.

    Primary researcher of this study is:
    Kröger, Hannes; Socio-Economic Panel Study (SOEP), German Institute for Economic Research (DIW), Berlin

    Dataset: 10.7802/1494

    Availability: Free Access (without registration)

    More information is available at datorium: 10.7802/1494