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
Econometrics Seminar - Jean-Pierre Dube (Chicago Booth)
Title: Nonparametric Estimation of Demand with Switching Costs: the case of Habitual Brand Loyalty
Abstract
We study habitual brand loyalty, one of the earliest empirically-studied forms of switching costs and a classic source of structural state-dependence in consumer demand. Auxiliary instruments and economically-motivated restrictions can tighten nonparametric bounds on the extent of brand loyalty in choice panel data. We also prove that the canonical dynamic discrete-choice model, nested in our nonparametric framework, has “built-in” exclusion restrictions that semiparametrically identify the discount factor, in general, and point identify it for standard parameterizations of switching costs. Case studies of several large consumer goods categories show that brand loyalty accounts for at least 10.8% but no more than 72.2%of the observed choices across categories studied. In some categories, it accounts for over 90% of observed repeat-purchase behavior. Consumers are found to be forward-looking, but more impatient than would be implied by the real rate of interest.
Keywords: habitual brand loyalty, dynamic potential outcomes, dynamic discrete choice, discount factor, partial identification, state dependence