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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

Manuel Bagues

Deputy Co-ordinator


Events

Tuesday, November 04, 2025

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CWIP Workshop - Yang Zhong (糖心TV)
S2.79

Title: Working under Distractions

Abstract: Distractions are pervasive in today鈥檚 workplaces, from noisy open-plan offices to digital interruptions. Using an incentivized laboratory experiment, I study the effects of distractions on performance and well-being, elicit willingness to pay to avoid distractions, and validate questionnaire items on resilience in working under distractions. I then incorporate these validated items in a representative Dutch survey panel. I obtain four main results. First, despite having little impact on performance in the lab, distractions are detrimental to individuals' self-reported well-being while working. Second, many individuals are willing to pay to eliminate distractions, and this willingness to pay is negatively correlated with the change in well-being. Third, individual heterogeneity in the impact of distractions on well-being can be captured by questionnaire items. Fourth, resilience to distractions strongly predicts income and job satisfaction in the representative survey data, even conditional on education, sector, and other personality traits.

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Applied & Development Economics Seminar - Erzo Luttmer (Dartmouth)
S2.79

Title: Living Large or Long? Preference Estimates from Completed-Life Stories (joint with Joshua Schwartzstein, Tom谩拧 Jagelka, Amitabh Chandra)

The paper will not be ready for sharing prior to the seminar, an abstract is as follows:

———Extended Abstract ———

The value of a year of life plays a crucial role in informing policy decisions related to healthcare, the environment, innovation, and safety regulations. Given the significance of a life year鈥檚 value for policymaking, estimates should accurately reflect people鈥檚 preferences. Currently, estimates are derived from individuals鈥 observed choices involving small risks of death and monetary compensation, such as their willingness to take riskier jobs for higher pay. However, these estimates have significant limitations: individuals may not correctly perceive small risks, may deviate from rationality for choices involving small probabilities, and those making such choices, like soldiers or firefighters, represent a non-representative sample. Furthermore, unobserved job characteristics related to risk can bias these estimates. Our paper introduces an alternative method for estimating the value of a life year, attempting to overcome these limitations. We present a broadly representative sample of U.S. respondents with choices between pairs of 鈥渃ompleted-life stories,鈥 asking which life they would prefer for themselves. By randomizing lifetime earnings and ages of death in each story, we estimate how the probability of choosing a particular story increases with higher lifetime earnings versus a later age of death. We find that a 7% increase in lifetime earnings increases the choice probability as much as a 1% increase in longevity, implying a Life Year Value (LYV) elasticity of 7. Consequently, a typical individual with median earnings of $80,000 annually values an additional life year at age 80 as equivalent to receiving an additional $5,700 per year for all working years, totaling approximately $225,000 over their lifetime. We validate our estimates by demonstrating high test-retest reliability across survey waves and establishing their robustness through a series of specification checks and additional randomizations. Furthermore, we estimate markedly higher LYV elasticities for individuals whose subjective attitudes indicate that they place an above-average value on an additional life year. A key methodological advantage of our approach is that respondents engage in a natural task—assessing whether a life was desirable—which avoids triggering cultural or social norms about paying for life extension. Moreover, our method does not entail decisions under uncertainty, thereby avoiding many known behavioral biases. An important substantive advantage of our approach is that it allows us to estimate how the Life Year Value varies with respondent characteristics, age of death, and lifetime earnings in a broadly representative population. We find that the LYV increases with lifetime earnings and decreases with later life years. Even when holding constant lifetime earnings and age of death, there is notable heterogeneity in the LYV across individuals. This suggests that tailoring policies to individual preferences can result in welfare improvements.

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PEPE (Political Economy & Public Economics) Seminar - Nicolas Ajzenman (McGill)
S0.13

Title: Informational Roots of Support for Right-Wing Populists: Evidence from Argentina

Abstract: Support for populist and authoritarian regimes is rising worldwide, despite evidence that they tend to underperform economically. To examine the role of (mis)perceptions of regime performance as drivers of political attitudes, we conducted a survey experiment with 11,400 subjects during Argentina's 2023 presidential elections. At baseline, optimistic beliefs about the performance of populist and non-democratic regimes were widespread, and correlated with support for those regimes. When exposed to randomly assigned informational treatments challenging optimistic views about right-wing populism or autocracies, individuals significantly adjusted their beliefs and their support for candidates associated with populist and authoritarian regimes. We explore the impact of different information sources, showing that academic sources and newspapers are more influential than social media. Although individuals appear to adjust their beliefs and attitudes in response to credible information, we find that information countering people's beliefs reduces their demand for additional information on regime performance, consisted with an important role for motivated reasoning.

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