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 (Microeconomics Work in Progress) - Raghav Malhotra (PGR)
Title: (When) Can Differential Restrictions be Tested?: A Unification of the Functional and Revealed Preference Approach
Abstract: Historically, testing whether monotonic decision makers (DM) obey certain axioms from choice data has taken 2 rather distinct approaches. The First approach involves observing the entire 鈥淒emand Function鈥� and putting restrictions on its derivatives. The second or 鈥渞evealed preference鈥� approach involves constructing algebraic inequalities which are satisfies if and only if choice data could arise from a DM who obeys the axioms of interest. We show, that under slight tweaks of the notions of revealed preference tests and derivative restrictions the 2 approaches are in fact very similar. This means that any test of derivatives can be used to derive a test of finite data. To do this we define a notion of convergence with certification, which holds under monotone preferences. We then show that monotocity, and therefore certification, is necessary for our results to hold.
This group is via