Jump to navigation
Zhijun Chen (Monash University)
TSE & IAST, November 12, 2025, 12:30–13:30, Auditorium 4
This paper develops a theoretical model to study how data monetization influences digital innovation and competition in data-driven mergers. Data monetization generates additional revenue for digital firms but imposes privacy costs on consumers, and heterogeneity in these costs reshapes market...
November 12–15, 2025
Anna Russo (Harvard University)
TSE, November 10, 2025, 14:15–15:30, room Auditorium 4
Market mechanisms aim to reduce environmental degradation at low cost, but they are undermined when participants’ conservation actions are not marginal to the incentive — or “additional” — as the lowest-cost participants may not be the highest social value. We investigate this challenge in the...
Anne Degrave
Toulouse: IAST, November 7, 2025, 12:45–13:00, room Auditorium 4 (First Floor - TSE Building)
Why do elites choose to support or undermine a nascent democracy, and are voting rights and civil liberties similarly threatened in this process? To explain the historical emergence and stabilization of the first wave of European democracies, a vast political economy literature has emphasized the...
Stefan Pollinger (SciencesPo)
TSE, November 7, 2025, 11:00–12:15, room Auditorium 4
The German solar programme was a very prominent example of a deployment subsidy for a nascent green technology. To contain its substantial fiscal costs, the subsidy was nonlinear in the capacity of adopted solar panels. This paper finds that an optimal nonlinear schedule could further decrease...
Renjie Bao (Princeton University)
November 6, 2025, 14:00–15:00, Zoom, room Zoom
I study self-control problems in media consumption and their amplification by short-form content. Using microdata from a U.S. short drama series, I show viewers watch 23 episodes (82%) more than intended and overspend by $5.51 (23%). A structural model reveals that temptation lasts an average of 6....
Jean Baptiste Fermanian (Université de Montpellier;INRIA)
Toulouse: TSE, November 6, 2025, 11:00–12:15, room Auditorium 3
Conformal prediction methods are statistical tools designed to quantify uncertainty and generate predictive sets with guaranteed coverage probabilities. This work introduces an innovative refinement to these methods for classification tasks, specifically tailored for scenarios where multiple...
Imran Rasul (University College, London)
November 6, 2025, 11:00–12:30, room Auditorium 4
We study innovation and ideas generation in bureaucracies, combining qualitative and quantitative evidence on workplace cultures, workplace climate and bureaucratic performance. We study these issues at-scale in a developing country, using data from bureaucrats in all ministries staffed by the...
Clément De Chaisemartin (Sciences-Po)
TSE, November 4, 2025, 15:30–16:50, room Auditorium 4
Assume that one is interested in estimating an average treatment effect (ATE), equal to a weighted average of S conditional average treatment effects (CATEs). One has unbiased estimators of the CATEs. One could just average the CATE estimators, to form an unbiased estimator of the ATE. However,...
Nicola Pavoni (Bocconi University)
TSE, November 4, 2025, 14:00–14:15, room Auditorium 4
We use data on individual expectations from the Survey of Professional Forecasters and Blue Chips, and document a few novel empirical facts that cannot be reconciled with the Rational Expectations hypothesis. We argue that a simple model where agents are unaware of (at least some) supply shocks and...
