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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


Events

Monday, March 13, 2023

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Economic History Seminar - Casper Hansen (U.Copenhagen)
S2.79

Title: Medical Technology and Life Expectancy: Evidence from the Antitoxin Treatment of Diphtheria

Abstract: In this paper, we explore the impact of the first effective medical treatment for an infectious disease---diphtheria antitoxin---on the historical health transition. In 1895, the Massachusetts State Board of Health began providing free supplies of the antitoxin for medical use throughout the state. This policy has later been recognized as a significant event in the public-health history of Massachusetts. We use cross-municipality variation in pre-antitoxin diphtheria mortality rates and the availability of free antitoxin since 1895 to create an instrumental variable for local adoption rates, as measured by the number of antitoxin bottles per capita. By analyzing approximately 1.6 million death certificates from 1880 to 1914, we find that a hypothetical 10-year delay in the development of antitoxin would have reduced life expectancy at birth by one year, primarily due to reductions in child mortality. Our results suggest that medicine played a significant role in the increase of life expectancy in the early 20th century. Finally, we provide evidence suggesting that antitoxin treatment during the first 9 years increased school attendance but did not affect adult labor-market outcomes.

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Econometrics Seminar - Michal Kolesar (Princeton)
S2.79

Title: The Fragility of Sparsity" (with Ulrich Müller and Sebastian Roelsgaard) There is no paper yet, but the abstract is:

We argue, using three empirical applications, that linear regression estimators which rely on the assumption of sparsity are fragile in two ways. First, we document that different choices of the regressor matrix that don't impact long regression estimates, such as the choice of baseline category with categorical controls, move the post-double-selection estimates by one standard error or more. Second, we develop two tests of the sparsity assumption based on comparing sparsity-based estimators with long regression. Both tests tend to reject the sparsity assumption in all three applications. Unless the number of regressors is comparable to or exceeds the sample size, long regression yields more robust results at little efficiency cost.

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