EconPapers    
Economics at your fingertips  
 

Gender differences in dropout rate: From field, career status, and generation perspectives

Yunhan Yang, Chenwei Zhang, Huimin Xu, Yi Bu, Meijun Liu and Ying Ding

Journal of Informetrics, 2025, vol. 19, issue 1

Abstract: The dropout of scholars poses risks by depleting valuable resources and hindering the scientific community. Knowledge gaps on this issue lack consistency across career statuses and overlook its dynamic nature. To address this gap, we analyzed the career trajectories of over 24 million scholars in 19 fields from the MAG dataset, examining dropout rates by field, career status, and generation. Firstly, we observed an unexpectedly high proportion of transients, comprising a growing proportion of newcomers and accounting for over 50% of publications in most soft sciences. This highlights the shortage of continuants, such as scholars with full careers, who contribute to scientific communities. Secondly, our exploration into gender-specific dropout rates revealed that women exhibit a significantly higher dropout rates within the first 20 years, covering career statuses including junior dropout, early-career dropout, and mid-career dropouts. Notably, early- and mid-career dropouts demonstrate the lowest and most stable dropout rates. These insights prompted the development of a gendered scientific career model that combines changes in scholar numbers and dropout rates across career statuses. Lastly, our generational analysis spanning four generations unveiled a diminishing gender gap in dropout rates. In hard sciences, women encounter initial career challenges, with the gender gap in dropout rates decreasing over time. In contrast, the gender gap in soft sciences persists longer. These findings hold consistent across six subfields, offering implications for field evaluation, gender disparities policies, and a deeper understanding of scholarly dropout across generations.

Keywords: Dropout rates; Gender differences; Generations; Career status; Research field (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1751157724001275
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:19:y:2025:i:1:s1751157724001275

DOI: 10.1016/j.joi.2024.101615

Access Statistics for this article

Journal of Informetrics is currently edited by Leo Egghe

More articles in Journal of Informetrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-24
Handle: RePEc:eee:infome:v:19:y:2025:i:1:s1751157724001275