WeLL-Unique Linked Employer-Employee Data on Further Training in Germany | Zendy

Stefan Bender | Zendy; Michael Fertig | Zendy; Katja Goerlitz | Zendy; Martina Huber | Zendy; Alexandra Schmucker | Zendy

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WeLL-Unique Linked Employer-Employee Data on Further Training in Germany

Author(s) -

Stefan Bender,

Michael Fertig,

Katja Goerlitz,

Martina Huber,

Alexandra Schmucker

Publication year - 2008

Publication title -

ssrn electronic journal

Language(s) - English

Resource type - Journals

ISSN - 1556-5068

DOI - 10.2139/ssrn.1280830

Subject(s) - focus (optics) , longitudinal data , training (meteorology) , survey data collection , data set , variety (cybernetics) , set (abstract data type) , data collection , business , computer science , data mining , geography , statistics , physics , mathematics , artificial intelligence , meteorology , optics , programming language

This paper explains the main features of an innovative linked employer-employee data set with a particular focus on continuous training in Germany, called WeLL. The data set comprises establishment data that can be linked to longitudinal information on the associated employees. The employer survey and the first wave of the employee survey were conducted in 2007. Both surveys focus on the collection of training information together with a variety of employee and employer background characteristics. In addition, it is possible to link these data with other survey and administrative data for a large number of respondents.

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