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:
Natalia Zinovyeva
Co-ordinator
Jennifer Smith
Deputy Co-ordinator
Research Students
Events
Tuesday, May 10, 2022
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Seminar - Evi PappaS2.79 |
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CWIP - Kenichi NagasawaS2.79 via MS TeamsThe title of talk is "Treatment effect estimation with noisy conditioning variables" and the abstract can be found below. In this paper, I develop a new identification strategy for treatment effects when proxy variables for unobserved confounding factors are available. I use proxy variables to construct a random variable conditional on which treatment variables become exogenous. The key idea is that, under appropriate conditions, there exists a one-to-one mapping between the distribution of unobserved confounding factors and the distribution of proxies. To ensure sufficient variation in the constructed control variable, I use an additional variable, termed excluded variable, which satisfies certain exclusion restrictions and relevance conditions. I establish asymptotic distributional results for flexible parametric and nonparametric estimators of the average structural function. I illustrate empirical relevance and usefulness of my results by extending the identification strategy of Dale and Krueger (2002, QJE). |
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PhD paper presentation - Raghav MalhotraS2.77 Cowling RoomThis is an opportunity for our PhD students to practice job talks. Raghav will present paper: Price Changes And Welfare Analysis: Measurement Under Individual Heterogeneity Fields: Microeconomic Theory, Labor Theory, Public Finance Theory Supervisors: Herakles Polemarchakis, Costas Cavounidis, Robert Akerlof |
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Applied Economics, Econometrics & Public Policy (CAGE) Seminar - Guilherme Lichand (Zurich)S2.79Title: The Intertemporal Effects of Seeing Prices: Evidence from Garbled Offers in Malawi (with Maite Deambrosi and Jiajing Feng) ABSTRACT: Preventive health care products are often sold at heavily discounted prices in developing countries. Does that hurt future demand for these products, by inducing subjects to anchor on low prices? Previous research on discounts for anti-malaria bed nets (Dupas, Ecma 2014) documents that experience and learning effects brought about by discounts dominate anchoring effects (if any). Bed nets are, however, an experience good sold at low frequency. Many essential preventive health care products – such as chlorine – are credence goods and have to be purchased at much higher frequency. Moreover, if discounts were perceived as a bargain by study participants, higher future demand might not generalize outside of the experiment. In a field experiment in Malawi, we investigate whether discounts generate anchoring and transaction utility effects across different types of preventive health care products. We do so by cross-randomizing actual discounts and implicit deals. Concretely, we decompose transaction prices into a sticker price and a randomly assigned delivery fee – revealed regardless of the purchasing decision. We find that demand decreases with discounts but increases with the size of the implicit deal. Such intertemporal effects of seeing prices are consistent with anchoring and transaction utility effects. Anchoring decays with time, but lasts up to 2 months after seeing prices. Using impulse-response functions, we simulate counterfactual demand under different pricing policies, showing that universal discounts are dominated by targeted (garbled) offers to those most responsive to each instrument. |