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Analysis Package bartsch2023

Analysis Package: Are Employment Trajectories of STEM Doctoral Degree Holders Gender-Specific? Evidence from a Large German Technical University 

Details

Authors:
Bartsch, Simone ORCID logo;
Buenstorf, Guido ORCID logo;
Otto, Anne ORCID logo;
Theissen, Maria ORCID logo
Sponsored by:
  • German Research Foundation
Data Curation:
Daniel, Andreas ORCID logo
DOI:
Version:
1.0.0 (published at May 14, 2024)

Analysis Package Description

Gender balance across different employment sectors is beneficial in order for society to make the best use of its talent pool. However, particularly in the STEM (science, technology, engineering and mathematics) fields, women are underrepresented as researchers and professors in universities and non-university research organizations in Germany. To better understand the career trajectories of doctoral degree holders, we investigate the critical phase of transition into the post-graduation employment context. Based on rich process-generated data for a large German technical university, we explore the relationship of employment sector and employment volume during and after doctoral training. Results of a sequence analysis indicate that the employment trajectories of men and women follow similar patterns, but that the prevalence of individual sequences differs substantially by gender. Our findings suggest substantial path dependence in employment biographies. Regression results show no overall gender-specific difference regarding the post-graduation employment sector when controlling for previous sector-specific work experience and STEM subfields. However, when distinguishing between men, women without children and women with children (mothers), we observe that mothers are more likely to remain in the university sector compared to men. In the years following doctorate completion, both women without children, and women with children are significantly less often full-time employed than are men.

Scripts related to this Analysis Package

Title Language of Commentaries Software Package Version File License
bartsch2023_Sequenzanalyse_STEM_2022.do German Stata 17 *
bartsch2023_Regressionsanalyse_STEM_2022.do German Stata 17 *

* The script is not available via direct download, please order the analysis package via the shopping cart.

Analysis Data

Type of Data:
Custom Data Package
Title:
TU Berlin Panel of PhD graduates (TUBPP)
Data Package Description:

The dataset is a linkage of information on doctoral graduates of the Technische Universität Berlin (e.g. doctoral subject, graduation date) and the Integrated Employment Biographies (IEB) of the Institute for Employment Research (IAB).

Annotations:

This is a project dataset that can only be used through research cooperation with researchers at the Institute for Employment Research. More information on this can be found on the IAB homepage.

Availability Type:
not accessible

Related Objects

Publications (1)
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Are Employment Trajectories of STEM Doctoral Degree Holders Gender-Specific? Evidence from a Large German Technical University
Bartsch, Simone; Buenstorf, Guido; Otto, Anne; Theissen, Maria  (2024)
Bartsch, S., Buenstorf, G., Otto, A. & Theissen, M. (2024). Are Employment Trajectories of STEM Doctoral Degree Holders Gender-Specific? Evidence from a Large German Technical University. In C. Gross & S. Jaksztat (Hrsg.), Career Paths Inside and Outside A...
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