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Econometrics and Data Science

Econometrics and Data Science

The Econometrics and Data Science Research Group covers a wide number of topics within the areas of modern econometric theory and applications, as well as data science in economics. On the econometrics side, the group’s research interests include: the econometrics of networks, panel data econometrics, identification and semiparametric econometrics, macroeconometrics and financial econometrics. On the data science side, the group is interested in, among other topics, machine learning, artificial intelligence, high-dimensional econometrics and text analysis. Such research is often motivated and applied to problems in other fields, including those in industrial organisation, labour economics, political economy, macroeconomics and finance.

The group organises an Econometric seminar that takes place every two weeks on Mondays at 2pm. The group also participates in the CAGE seminar in applied economics, which runs every two weeks on Tuesdays at 2pm, and engages with other seminars in the Department. Students and faculty of the group present their work in progress in two brown bag seminars which run weekly on Tuesdays and Wednesdays at 1pm. The group also co-organises annual workshops, including the Econometrics Workshop, which is a one-day event coupled with an econometrics masterclass.

Our activities

Econometrics Seminar

Monday afternoons
For faculty and PhD students at Warwick and other top-level academic institutions across the world. For a detailed scheduled of speakers please see our upcoming events.
Organisers: Kenichi Nagasawa and Ao Wang

Work in Progress Seminars

Tuesdays and Wednesdays: 1.00-2.00pm
Students and Faculty of the group present their work in progress in two brown bag seminars. For a detailed scheduled of speakers see our upcoming events.
Organiser: Chris Roth

People

Events

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CAGE-AMES Workshop - Guila Vattuone (Warwick Economics)

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Title: The impact of women in top academic positions: evidence from a randomized natural experiment. (joint with Manuel Bagues and Natalia Zinovyeva)

Abstract: We use unique evidence from Spanish academia to study whether the presence of women in top academic positions helps to attract more women into the profession, foster their professional careers, as well as affect the quality and type of research departments produce. We exploit the exogenous variation provided by the system of centralized qualification exams that was in place in Spanish academia between 2003 and 2007. All junior researchers seeking a promotion to Associate or Full Professor had to first qualify in an evaluation that was conducted at the national level. Crucially for our empirical strategy, the members of these evaluation committees were selected from the pool of eligible evaluators in the field using a random draw. As shown by Zinovyeva and Bagues (2015), the exogenous presence of a co-author, a colleague or an advisor in the committee increased candidates’ chances of success by around 40%. Preliminary findings at the individual level show that exogenous qualifications have a strong long-lasting impact on promotions. Our department-level analysis shows that departments with a “lucky” female candidate have a significantly larger number of women in the corresponding category during the following 13 years, compared to departments where female candidates were “unlucky”. Our results show that qualification exams provide an exogenous source of long-term variation in the gender composition of departments. We aim to exploit this variation to study how the presence of women in top academic positions affects a number of outcomes.

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