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Project Citation: 

Biermann, Marcus. Data and Code for: On the Gender Diversity of Research Teams in Economics Seminars. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-05-05. https://doi.org/10.3886/E184181V1

Project Description

Summary:  View help for Summary Seminars are an important channel through which researchers receive feedback on their work and disseminate it. This paper presents descriptive evidence on the representation of female teams, male teams, and mixed teams in economics seminars. I use a balanced panel of 270 institutions in the academic years 2018-2020. I find that before COVID-19, only 7.4 percent of presented projects were authored by female teams, 59.2 percent of projects were authored by male teams, and 33.5 percent of projects were authored by mixed teams. The introduction of virtual seminars during the COVID-19 pandemic led to more balanced distribution across team types.
Funding Sources:  View help for Funding Sources EOS programme of the Flemish (FWO) and French-speaking (FRS-FNRS) communities of Belgium (convention 30784531)

Scope of Project

JEL Classification:  View help for JEL Classification
      A14 Sociology of Economics
      J16 Economics of Gender; Non-labor Discrimination
Geographic Coverage:  View help for Geographic Coverage 270 institutions worldwide
Time Period(s):  View help for Time Period(s) 7/2018 – 2/2021 (Fall term of Academic years 2018, 2019, and 2020)
Collection Date(s):  View help for Collection Date(s) 1/2021 – 5/2022
Universe:  View help for Universe From Biermann (2023): “The starting point for the sample was the Tilburg Ranking, which collects information on the publication output of institutions worldwide, the RePEc lists of central banks and research institutes, and a web search on research institutes and international organizations. From these sources, I built a balanced panel of 270 institutions that recorded economics seminars in three consecutive academic years between 2018/19 and 2020/21. All data refer to the fall term of the respective academic year. […] Finally, I excluded seminars from the sample in which the speaker was a PhD student and only kept seminars in which the speaker did not hold a PhD in the sample in case they were professors at an institution. […] Information on the authors of research projects was collected from seminar announcements, Google scholar, or authors' websites.”
Data Type(s):  View help for Data Type(s) administrative records data; other
Collection Notes:  View help for Collection Notes
The underlying dataset used in the analysis was constructed using publicly available sources. I accessed the websites of 270 institutions worldwide and collected available information on their seminar schedules.

Methodology

Data Source:  View help for Data Source Website of 270 institutions worldwide, Google scholar, and authors' websites. The Tilburg Ranking was used to identify the 25 top departments in Biermann (2023). The journal selection was set to the default list and the annual range was chosen from 2015 to 2019.
Unit(s) of Observation:  View help for Unit(s) of Observation Individual seminar talk

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