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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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Applied & Development Economics Seminar - Atilla Lindner (UCL)

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Location: S2.79

Title: Labor Market Tightness, Wage Inequality and Workplace Amenities

Authors: Aniko Bıro, Joao G. da Fonseca, Attila Lindner, Tımea Laura Molnar

Abstract - Workplace-specific pay premiums and their dispersion rise with labor market tight-ness. We examine the role of compensating wage differentials in this relationship: as competition for labor intensifies, firms are compelled to offer higher pay for undesirable job attributes. Using administrative data from Hungary, we construct a novel measure of workplace-specific injury rates and study how workers are compensated for this negative attribute over the business cycle. We find that the wage premium associated with hazardous working conditions increases with market tightness, with compensation for workplace-specific injuries accounting for roughly 7% of the rise in wage dispersion. Nonetheless, despite offering higher wages, firms with poor amenities face increasing challenges in retaining workers in tight labor markets. We interpret these findings through the lens of a job search model with amenities, showing that while tighter labor markets can raise overall wage dispersion through compensating differentials, the dispersion in worker utilities across jobs declines.

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