Affiliation:
1. Institute for Employment Research (IAB) , Regensburger Straße 100, 90478 Nürnberg , Germany
Abstract
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.
Subject
Economics and Econometrics,Social Sciences (miscellaneous),General Business, Management and Accounting
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