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
CWIP Workshop - Ludovica Gazze
Title: Improving Residential Air Quality: Barriers to Adoption of Air Purifiers and Effects on Health and Well-Being (Pre-analysis plan)
Joint with Patrick Behrer and Bridget Hoffmann
We will conduct a randomised controlled trial with three groups, a control and two free air purifier trials of 10 and 90 days, with low- and middle-income households in Mexico City. First, we will use air quality monitors, wearable fitness trackers, smart outlets, and in-person surveys to measure residential air quality and estimate the impacts of air purification on health and well-being. Second, we will test interventions to address three potential key barriers to adoption of purifiers: experience, information, and cost. After the interventions, we will elicit all participants’ willingness to pay (WTP) for the purifier in an in-person survey. Later in the survey, we will provide households in the trials with personalised feedback on objectively-measured improvements in air quality and health relative to matched control participants to increase information and the salience of the air purifier’s benefits and elicit WTP a second time.