Applied Microeconomics
Applied Microeconomics
The Applied Microeconomics research group unites researchers working on a broad array of topics within such areas as labour economics, economics of education, health economics, family economics, urban economics, environmental economics, and the economics of science and innovation. The group operates in close collaboration with the CAGE Research Centre.
The group participates in the CAGE seminar on Applied Economics, which runs weekly on Tuesdays at 2:15pm. Students and faculty members of the group present their ongoing work in two brown bag seminars, held weekly on Tuesdays and Wednesdays at 1pm. Students, in collaboration with faculty members, also organise a bi-weekly reading group in applied econometrics on Thursdays at 1pm. The group organises numerous events throughout the year, including the Research Away Day and several thematic workshops.
Our activities
Work in Progress seminars
Tuesdays and Wednesdays 1-2pm
Students and faculty members of the group present their work in progress in two brown bag seminars. See below for a detailed scheduled of speakers.
Applied Econometrics reading group
Thursdays (bi-weekly) 1-2pm
Organised by students in collaboration with faculty members. See the Events calendar below for further details
People
Academics
Academics associated with the Applied Microeconomics Group are:
Research Students
Events
Internal Metrics-Labour webinar
Future Shocked? AI, Skill Demand and Employment in the UK Labor Market (Emma Duchini, Mirko Draca, Arthur Turrell, Giulia Vattuone)
Abstract: Artifical Intelligence (AI) technologies are developing fast. Exploiting a granular data set on online job listing data, this paper explores the diffusion of AI in the UK labor market. First, it traces the demand for AI skills over time, across occupations and counties. Second, it uses novel measures of AI-occupational exposure to study potential dynamics of substitution and complementarity between AI-performed tasks and those performed by humans. Third, it aims to assess the impact of AI on the structure of jobs, by implementing a text-based analysis of job ads.
Organiser: Roland Rathelot