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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

Events

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CAGE-AMES Workshop - Shobhit Kulshrestha (Tilburg)

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Location: S2.79

Shobhit Kulshreshtha (visiting PhD student from Tilburg University) will present  

Title: The Effect of Initial Location Assignment on Healthcare Utilization of Refugees

 Abstract: Characteristics of a place, such as healthcare access and the local environment, influence healthcare utilization. Refugees resettled in developed countries are often assigned locations based on the host country’s assignment policies, yet the impact of initial placement on their healthcare usage remains understudied. I use Dutch administrative data to examine the effect of conditions in the initial municipality on healthcare utilization of refugees, leveraging the random assignment of refugees. I show that 10% of the total variation in hospital visits among refugees can be explained by municipality effects. Additionally, being assigned to a municipality with a higher hospital visit rate among non-refugees increases a refugee’s probability of hospital visits. There is significant heterogeneity in the results for other measures, such as depression medication use and general practitioner costs. This study highlights the role of local healthcare access in shaping healthcare usage among refugees, contributing to policy debates aiming to provide separate and more targeted healthcare services for this vulnerable population at the municipality level.

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