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 - Bruno Conte (Bologna)
Title: Climate change and migration: the case of Africa.
Abstract:
This paper estimates the impacts of climate change in sub-Saharan Africa (SSA) on migration and other economic outcomes. I develop a quantitative spatial model that captures the role of trade networks, migration barriers, and agricultural yields on the geography of the economy. I combine the model with forecasts of future crop yields to find that climate change, by the end of the century, reduces SSA real GDP per capita by 1.8 percent and displaces 4 million individuals. Migration barriers in SSA are very stringent: if absent, climate-induced migration exceeds 100 million individuals. Still, migration and trade are powerful adaptation mechanisms. Reducing migration barriers to the European Union (EU) standards eliminates the aggregate economic losses of climate change in SSA, but at the cost of more climate migration and higher regional inequality. Also reducing trade frictions to the EU levels attenuates this cost and makes SSA better off on aggregate and distributional terms.