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 - Mariaflavia Harari (UPenn)
Title: Residential Patterns and Local Public Goods in Urban Brazil
Abstract: Millions of migrants in developing countries move to urban areas in search of better prospects, but access to public services varies widely within cities. Yet, we know little about spatial inequalities within cities in low- and middle-income countries. This paper investigates the spatial distribution of socio-economic status and public goods access within Brazilian cities, using high-resolution Census maps. I consider spatial metrics of "distance segregation", capturing the physical proximity between neighborhoods of different socio-economic status. I document descriptive patterns of segregation by income, race, and informality and disparities in access to public goods within cities. To make progress on the identification of the impacts of residential patterns on public goods provision, I develop an instrumental variables strategy that leverages within-city geography to predict where the poor and rich live. I find that cities with greater distance between rich and poor have fewer households connected to sewerage and water, worse neighborhood quality, and lower access to public amenities. Leveraging spatial variation in public goods provision within cities, I highlight competing mechanisms that shape the allocation of urban services, including externalities across neighborhoods, strategic underprovision to deter the poor, and preferences over public goods provision. These findings help inform the debate on policies such as slum clearance and relocations, social housing, and the spatial targeting of public goods.