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 - Yusufcan Demirkan (KU)
Title: Visual Choice
Abstract: I propose a procedural model of random choice called visual choice based on the eye movements of individuals. The decision maker fixates randomly on alternatives and performs saccades to other alternatives based on the fixation point. The choice probabilities are determined using a random tie-breaking between these saccaded alternatives and weighting according to the fixation probabilities, both formulated using the well-known Luce rule. I discuss the cases of fixation-independent and fixation-dependent saccades. The former connects to the recent literature extending the Luce rule giving a procedural interpretation for these choice rules. For the latter, I discuss a special case called satisficing visual choice which determines the choice probability of an alternative x by calculating the weighted average of the contribution coming from the fixated alternatives strictly dominated by x. The main results of the model are related to the rationality properties of this procedure, and a behavioral characterization result based on conditions imposed on the choice data
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