Fall Semester 2025-2026
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Date:05/02/2026 - 15:30 to 17:00
Title: "Does Warm Weather Cool Voters Down? How Temperature Shocks Impact Climate Concerns, Voting, and Policy Preferences"
Speaker: Professor Konstantinos Matakos, King's College London.
Host: Assistant Professor Efthymios Athanasiou, Department of Economics, Athens University of Economics and Business
Time: 15.30 -17.00
Room: 76, Patission Str., Antoniadou Wing, 3rd floor, Room A36
Abstract : We explore how regional temperature variations in OECD countries affect political behavior, climate anxiety, economic concerns over green policies, and support for climate adaptation compensation. Using individual-level survey data and election results, we show that exposure to higher temperatures reduces support for extreme/populist parties, and increases climate concerns and backing for parties with green agendas. Effects are driven by older voters’ heightened climate and economic cost concerns: this group becomes “greener” but simultaneously demands policies designed to mitigate these costs. Our results suggest that achieving widespread climate policy support requires parties to jointly advocate for green agendas and targeted compensation.
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Date:12/02/2026 - 15:30 to 17:00
Title: "Treatment-Effect Estimation in Complex Designs under a Parallel-trends Assumption"
Speaker: Professor Xavier D’Haultfoeuille, CREST–ENSAE (IP Paris)
Host: Assistant Professor Alexopoulos Angelos, Department of Economics, Athens University of Economics and Business
Time: 15.30 -17.00
Room: 76, Patission Str., Antoniadou Wing, 3rd floor, Room A36
Abstract: This paper considers the identification of dynamic treatment effects with panel data, in complex designs where the treatment may not be binary and may not be absorbing. We first show that under no-anticipation and parallel-trends assumptions, we can identify event-study effects comparing outcomes under the actual treatment path and under the status-quo path where all units would have kept their period-one treatment throughout the panel. Those effects can be helpful to evaluate ex-post the policies that effectively took place, and once properly normalized they estimate weighted averages of marginal effects of the current and lagged treatments on the outcome. Yet, they may still be hard to interpret, and they cannot be used to evaluate the effects of other policies than the ones that were conducted. To make progress, we impose another restriction, namely a random coefficients distributed-lag linear model, where effects remain constant over time. Under this model, the usual distributed-lag two-way-fixed-effects regression may be misleading. Instead, we show that this random coefficients model can be estimated simply. We illustrate our findings by revisiting Gentzkow et al. (2011).
