Year: 2022
Type: article
Abstract: Information on individuals holding managerial or supervisory positions within establishments is important for various aspects of labour market research. However, identifying managers or supervisors in German administrative records is not straightforward. This paper uses survey information from the Panel Study Labour Market and Social Security (PASS) to predict managerial or supervisory tasks in administrative records that can be used to enhance the identification of managers and supervisors in the Sample of Integrated Labour Market Biographies (SIAB). Furthermore, I provide an applied example in which I calculate gender differences in the probability to hold a managerial position.
Author: Matthias Collischon
Institution: Institut für Arbeitsmarkt und Berufsforschung
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $2,107
OpenAlex ID: W4283789342