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 17 Feb, '26- |
CWIP (CAGE Work in Progress) Workshop - Victor Lavy (Warwick)S2.79Title: When Teachers Break the Rules: Imitation, Reciprocity, and Community Structure in the Transmission of Ethical Behavior (with Moses Shayo - Hebrew University of Jerusalem, King's College London). Abstract: We study how teachers' rule violations in grading affect students' ethical behavior. Using administrative data from high-stakes exams, combining teacher-assigned internal scores with externally graded national exam scores, we track teacher grading violations and subsequent student cheating. We explore three potential mechanisms: imitation (learning that rules can be broken), positive reciprocity (responding favorably to favorable treatment), and negative reciprocity (retaliating against unfavorable treatment). Exploiting within-student variation in exposure to different teachers, we find students are significantly more likely to cheat when teachers break the rules to their detriment (systematically under grading), consistent with both imitation and negative reciprocity. However, when teachers systematically over grade, responses vary by community structure. In heterogeneous communities, over grading increases student cheating, suggesting imitation dominates. In homogeneous communities, students respond by cheating less, consistent with positive reciprocity dominating. This pattern holds across multiple homogeneity measures, including surname concentration and residential clustering. Survey measures of mutual respect and support between students and teachers confirm this pattern. |
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Mon 23 Feb, '26- |
Econometrics Seminar - Francis J. Di Tragilia (Oxford)S2.79Title to be advised. |
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Tue 24 Feb, '26- |
CWIP (CAGE Work in Progress) Workshop - Anant Sudarshan (Warwick)S2.79Title to be advised. |
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Wed 25 Feb, '26- |
AMES (Applied Microeconomics Early Stage) Workshop - Anisha Garg and Kaveendra Vasuthevan (PGRs)S2.79Two 30 minutes presentations. Titles to be advised. |
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Wed 25 Feb, '26- |
Econometrics Seminar - Tymon Sloczynski (Brandeis)S0.20Title: Quantifying the Internal Validity of Weighted Estimands (with Alexandre Poirier), The paper is available at https://arxiv.org/abs/2404.14603. |
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Mon 2 Mar, '26- |
Econometrics Seminar - Kirill Pomaranev (Chicago)S2.79Title to be advised. |
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Wed 4 Mar, '26- |
AMES (Applied Microeconomics Early Stage) Workshop - Anwesh Mukhopadhyay (PGR)S2.79Title to be advised. |
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Tue 10 Mar, '26- |
CWIP (CAGE Work in Progress) Workshop - Sara Spaziani (Warwick)S2.79Title to be advised. |
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Wed 11 Mar, '26- |
AMES (Applied Microeconomics Early Stage) Workshop - Immanuel Feld and Lily Shevchenko (PGRs)S2.79Two 30 minutes presentations. Titles to be advised. |
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Wed 11 Mar, '26- |
Econometrics Seminar - Zhongjun QuR2.41 (Ramphal building)Title: Prediction Intervals for Model Averaging |
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Mon 16 Mar, '26- |
Econometrics Seminar - Zhongjun Qu (Boston)S2.79Title to be advised. |
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Tue 17 Mar, '26- |
CWIP (CAGE Work in Progress) Workshop - Anant SudarshanS2.79Title to be advised. |
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Wed 18 Mar, '26- |
AMES (Applied Microeconomics Early Stage) Workshop - Shruti Agarwal and Chris Burnitt (PGRs)S2.79Two 30 minutes presentations. Titles to be advised. |
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Wed 6 May, '26- |
Econometrics Seminar - Antonio Galvao (Michigan State)S0.18Title to be advised. |
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Thu 7 May, '26- |
Econometrics Seminar - Toru Kitagawa (Brown)S2.79Title to be advised |
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Mon 11 May, '26- |
Econometrics Seminar - Markus Pelger (Stanford)S2.79Title to be advised. |
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Mon 18 May, '26- |
Econometrics Seminar - Yuhao Wang (Tsinghua)S2.79Title to be advised. |
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Wed 27 May, '26- |
Econometrics Seminar - Federico Ciliberto (Virgina)S2.79Title to be advised. |
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