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 & Development Economics Seminar - Kelsey Jack (UC Berkeley)
Title: Health Insurance for Seasonal Savings: Evidence from Rural Côte d'Ivoire
Authors: Günther Fink, B. Kelsey Jack, Renate Strobl, Dao Daouda
Abstract: Households in low-income agricultural economies face large seasonal fluctuations in income and limited access to financial tools for smoothing consumption. In such settings, health insurance can serve not only as risk protection, but also as a state-contingent savings technology, transferring resources from high-income harvest periods to low-income lean periods. We study the rollout of Côte d'Ivoire's national health insurance scheme in a context with high morbidity, substantial out-of-pocket expenditures, and pronounced income seasonality---conditions under which the potential welfare gains from insurance are particularly large. Using a randomized subsidy design among 2,468 cocoa-farming households, we show that insurance demand is highly responsive to both price and cash-on-hand liquidity. Despite strong demand and actuarially favorable pricing, we find limited effects on health spending or consumption. We show that this disconnect arises from frictions in accessing benefits, including weak verification and reimbursement environments that limit providers' willingness to honor coverage without immediate proof. Our results highlight the importance of implementation, trust, and contract enforceability in determining the welfare impacts of social insurance.