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
CAGE-AMES Workshop - Lily Shevchenko & Benjamin Koch (PGRs)
There will be two presentations:
1: Lily Shevchenko - Title: Does cancel culture work? Evidence from Reddit
Abstract: How well can platforms police user behaviour? We look at the popular social media site, Reddit, where a mass ban of toxic communities occurred in response to a change in the site's conduct policy. We aim to see how the users of these communities changed their behaviour after the ban, as well as at the impact on the platform as a whole.
2. Benjamin Koch - Title: Smart or Corrupt? Informed Trading in the U.S. Congress
Abstract: U.S. Committee members enjoy an information privilege in regard to emerging regulations due to their role in shaping legislation. This privilege allows for a better prediction of a company’s future profit. If a politician indeed capitalizes on this privilege by trading affected stock, it would constitute an abuse of office in violation of ethical and legal standards. The identification of information-conflicted trades is not straightforward. Committee members often have prior expertise in the industry the committee is supposed to oversee, and working on the committee further enhances their expertise. To tackle these issues, I link stock transaction records of politicians with information on congressional committees, bills, and stock prices of affected firms. First, I compare Congress members’ portfolio returns before and after they join committees in a difference-in-differences framework, differentiating between committee-associated and -unassociated sub-portfolios. I then contrast the change in returns when Congress members join and leave committees for each sub-portfolio. Second, I use public relevations of milestones of bills and examine the frequency and timing of a politician’s transactions anticipating stock price reactions. My novel approaches contribute to the public and academic debates on how politicians can privately benefit from public office and on the prevalence of insider trading by politicians.