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
Wednesday, March 12, 2025
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Teaching & Learning Seminar - Alex Squires (Manchester)S0.18Title: Engaging students during and after lectures Abstract: Many students are reluctant to engage with the full range of support on offer to them at university. For example, they may avoid interacting with their instructors by not asking questions in lectures and tutorials, and many rarely attend office hours. This is in contrast to their experience before university, e.g. in college or sixth form, where engagement is often higher and student-staff interactions are more common. With much larger student numbers on university courses eLearning technologies are often used to promote engagement and reduce barriers to interactions. In this talk, I reflect on how I have used some of these technologies to enhance student engagement, both during and after lectures, with mixed results. I will then contrast the success of these technologies with changes that I have made to make lecture time more interactive and in-person support more accessible. |
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CAGE-AMES Workshop - Margot Belguise (糖心TV PGR)S2.79Title: "The normalization of extreme parties" (preliminary title) |
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CRETA Seminar - Catherine BobtcheffS2.79Catherine will present a paper co-authored with David Alary (Toulouse School of Economics) and Carole Haritchabalet (Universit茅 de Pau) entitled 鈥淥rganizing insurance supply for new and undiversifiable risks鈥. The abstract is the following: 鈥淭his paper explores how insurance companies can coordinate to extend their joint capacity for the coverage of new and undiversifiable risks. The undiversifiable nature of such risks causes a shortage of insurance capacity and their limited knowledge makes learning and information sharing necessary. In practice, organizing such insurance supply amounts to sharing a common value divisible good between capacity constrained and privately informed insurers with a reserve price. Widely used ad-hoc co-insurance agreements out to operate as a uniform price auction with an ``exit/re-entry'' option. We compare it to a discriminatory auction, another auction present in the insurance industry. Both auction formats lead to different coverage/premium tradeoffs. If at least one insurer provides an optimistic expertise about the risk, ad-hoc co-insurance agreements offer higher coverage. This result is reversed when all insurers are pessimistic about the risk. Static comparative results with respect to the severity of the capacity constraints and the reserve price are provided. In the case of completely new risks, a regulator aiming at maximizing the expected coverage should promote ad-hoc co-insurance agreements when the reserve price is low enough or when capacity constraints are large enough.鈥 |
