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 Theory Seminar - Jacopo Perego
Title: The Value of Data Records (with Simone Galperti & Aleksandr Levkun)
Abstract: Many online platforms intermediate trade between sellers and buyers using data records of the buyers' personal characteristics. How much value do such intermediaries derive from each record? Is this value higher for specific buyers? What are its properties? We find that an important component of the value of a data record is a novel externality that arises when a platform pools records to withhold information from the sellers. Ignoring this externality can significantly bias our understanding of the value of data records. We then characterize a platform's willingness to pay for more data, thereby establishing a series of basic properties of the demand side of data markets. Our analysis combines modern information design with classic duality methods and applies to a large class of principal-agent problems.