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
CRETA Seminar - Tommaso Denti (Cornell)
Title: Blackwell correlated equilibrium (joint with Doron Ravid).
Abstract: We develop a method for making robust predictions in games with flexible information acquisition (i.e., rational inattention, Sims 2003). In games with exogenous information, one can describe the set of attainable outcomes using the Bayes correlated equilibrium (BCE) concept (Bergemann and Morris 2016). We introduce a refinement of BCE, Blackwell correlated equilibrium (BKE), and prove that it spans all outcomes attainable under some flexible learning technology whose costs increase in Blackwell's (1951,1953) information order. We show the BKE set is either dense or nowhere dense in the BCE set, with the former being true for generic games. We also characterize the set of outcomes attainable under almost-free learning. We conclude by exploring the implications of BKE on a Bertrand competition game, where we show the best BCE for consumers may not be approximable by BKEs.