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
MIWP Workshop - Jack Fanning (Brown)
Title: Searching for bargaining surplus
Abstract: We develop a novel bargaining model where different ``issues鈥欌��, feasible utility sets, arrive stochastically over time. Delay can occur as players hold up issues with high opponent value in order to extract concessions on future issues with high own value. Even without delay, efficiency is often lower than under independent committees, where each issue type is negotiated separately. Stopping new issues arriving whenever some are already available is still more efficient. Endogenizing new issues' arrival in a search model, however, we show both players typically search intensely when it鈥檚 cheap, despite this reducing efficiency. Higher search costs can improve efficiency.