![]() Multicultural and women entrepreneurs are the cutting-edge leaders of businesses that power markets. Our insightful research, advisory and investing capabilities give us unique and broad perspective on sustainability topics. Stay abreast of the latest trends and developments. Whether it’s hardware, software or age-old businesses, everything today is ripe for disruption. Learn from our industry leaders about how to manage your wealth and help meet your personal financial goals.įrom volatility and geopolitics to economic trends and investment outlooks, stay informed on the key developments shaping today's markets. Across all our businesses, we offer keen insight on today's most critical issues. Without Alisa, this dataset would not have existed.At Morgan Stanley, we lead with exceptional ideas. Finally, we would like to extend a special thank you to Alisa Weinberger for excellent project management. ![]() We would also like to thank all our colleagues for encouraging comments during the data collection process, and we are very grateful for having the opportunity to use the infrastructure developed by our colleagues at Goethe University. Acknowledgementsįirst, we would like to thank Renée Adams at Oxford University for coming up with the idea to create this website. Read about compliance with the GDPR here. Use of this data to learn the identity of any person is prohibited. The data may not be used for any purpose other than statistical analysis. No external parties are liable for the data. The data on this website is managed by the Swedish House of Finance at the Stockholm School of Economics. No personal data are made available on this website. We present our data on the country level, institutional level, and hierarchical level. Corrections or other input are very welcome. Despite this, we cannot completely rule out that there are errors for individual institutions. We have done our best to assure the quality of the data, not only by manual checks, but also by asking the people responsible for the respective institution to verify the information we collected. ![]() Since every country has its own non-standardized terms for its levels, we map positions into a general hierarchy of positions: (1) Full Professor, (2) Associate Professor, (3) Assistant Professor, (4) Lecturer, (5) Research Fellow, and (6) Research Associate, see Friebel and Wilhelm (2019) for details. The sample covers universities and business schools from 20 countries. Researchers are included in the sample if they belong to a finance department, finance research area/group/division, or if the institution otherwise provides information from which it can be retrieved whether the researchers are finance researchers.īased on the scraped position descriptions and name titles, we map all researchers to a hierarchical level. We collect information from the global top 100 and European top 50 research institutions according to the UT Dallas Business School Rankings based on publications in the JF, JFE, and RFS in 2018–2020. Our dataset covers only researchers in financial economics. The technology is explained in detail in Friebel and Wilhelm (2019), and their work is presented on the Women in European Economics website. Gender is identified through first names and a gender identification software analyzing pictures. They have developed a web-scraping tool that identifies individuals listed on their employers’ websites and records the position description and name titles of these individuals. This website draws exclusively on previous work by Guido Friebel, Alisa Weinberger, and Sascha Wilhelm at Goethe University in Frankfurt. Our objective is to facilitate fact-finding and induce action by publishing reliable data. To increase the knowledge about the representation of female researchers in finance, we have gathered information from leading research institutions by collecting data that are publicly available on the institutions' websites. Adams and Xu (2022), Lundberg and Stearns (2019), and Friebel, Fuchs-Schündeln, and Weinberger (2021). Unfortunately, financial economics seems to be one of the subfields that attracts the least women, see e.g. The share of women also varies between different areas within academia and even within the field of economics. Women’s careers differ from men’s for many reasons, such as preferences, networks, norms, children, and discrimination. It is a well-known fact that the proportion of women varies widely between different professions.
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