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
Academics
Academics associated with the Reseach Group Name research group are:
Events
Tue 16 Jun, '26- |
CWIP (CAGE Work in Progress) - Adam Di Lizia (PGR)S0.09Title: Brainrot? The Effect of Short-Form Content on Long-Form Attention Abstract: Has the rise of short-form content worsened our attention spans? I assess this question by studying slice-by-slice attention to news videos on YouTube, the leading global source of video content. Leveraging the staggered rollout of YouTube Shorts across markets and channels, I find that the introduction of short-form content significantly worsens user attention to their usual videos. Skipping to any given section of a video increases by approximately 30%, with across video comparisons showing that longer videos are worst affected. The effect is fast-acting and permanent. On the supply side I find no evidence that channels modify the content of their videos, but instead increasingly produce their own short-form content. Disaggregating this skipping within videos, I find a uniform increase to all slices except for the final 5% of a video. I rationalise these results with a model in which videos are not discrete units but a collection of interdependent slices. Skipping allows users to trade off context for additional video content, with shorts exposure lowering the value of context and leading to content-seeking behaviour. Structural estimation reveals that viewers value context 15% less relative to content in response. Mechanism tests suggest these results are driven by a worsening attention span, rather than substitution or user composition. Overall, short-form content has large impacts on user behaviour. |
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Thu 18 Jun, '26- |
AMES Workshop - Jean Akpo & Zhifan Huang (PGRs)E0.23 (Social Sciences)There will be two presentations (30 mins each) and the titles are: i) Matrilineal Kinship and Fertility Trade‑offs - Jean Akpo ii) Bargaining with the Emperor - Zhifan Huang |
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