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
Applied Economics, Econometrics & Public Policy (CAGE) Seminar - Anne Brockmeyer (Institute for Fiscal Studies)
Title: Tax Audits Under Weak Fiscal Capacity: Experimental Evidence from Senegal, joint work with Pierre Bachas, Alipio Ferreira, and Bassirou Sarr.
Abstract: Developing economies are characterized by limited compliance with government regulations, such as taxation. Resources for enforcement are scarce and audit cases are often selected in a discretionary manner. We study whether the increasing availability of digitized data helps improve audit targeting. In a field experiment at scale in Senegal, we compare tax audits selected by inspectors to audits selected by a risk-scoring algorithm. We find that inspector-selected audits are more likely to be conducted and uncover similar amounts of evasion as algorithm-selected audits. However, algorithm-selected audits require less manpower, are faster and may generate less corruption. In ongoing work, we attempt to unpack the algorithm’s (dis)functioning and its interaction with human capital.
Seminar organisers: Manuel Bagues & Ludovica Gazze