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Bryan Wilder (Carnegie Mellon University)
TSE & IAST, 16 avril 2025, 12h30–13h30, Auditorium A4
In many settings, machine learning models are used in conjunction with a human decision maker. For example, consider a model used to make diagnoses in healthcare. Far from having the model operate autonomously, human clinicians may provide a second opinion on hard cases, use the predictions to...
Helene Mass (University of Vienna)
Toulouse : TSE, 15 avril 2025, 11h00–12h30, salle Auditorium 3
We study the design of thresholds in pass/fail tests. The principal aims for the agent to pass when the agent's natural type (e.g. ability) is sufficiently high. However, the agent can manipulate the perceived natural type at a cost. Randomizing the passing threshold becomes optimal when the...
Manuel Mateo Goyet
10 avril 2025, 17h00–18h15, salle Zoom
Thomas Mariotti
TSE, 10 avril 2025, 16h00–16h45, salle A3
We study games in which several principals contract with several privately-informed agents. We show that enabling the principals to engage in contractible private disclosures by sending private signals to the agents about how the mechanisms will respond to the agents' messages-can significantly...
Christian Bontemps
TSE, 10 avril 2025, 14h45–15h00, salle A3
We develop a two-stage game in which competing airlines first choose the networks of markets to serve in the first stage before competing in price in the second stage. Spillovers in entry decisions across markets are allowed, which accrue on the demand, marginal cost, and fixed cost sides. We show...
Ana Gazmuri
TSE, 10 avril 2025, 14h00–14h45, salle A3
Decisions about college are highly consequential, yet they are often made with poor information. This paper studies how information about college programs spreads through peer networks and affects application behavior using data from Ontario, Canada. We build and estimate a structural model of...
Tiziana Assenza
TSE, 10 avril 2025, 11h15–12h00, salle A3
This paper quantifies the impact of a demand-side policy intervention on citizens’ willingness to pay for protection against misinformation. We find that individuals generally lack proficiency in identifying fake news and overestimate their ability to distinguish between accurate and false content...
Mathias Reynaert
TSE, 10 avril 2025, 10h00–10h45, salle A3
The transition to electric vehicles (EVs) shifts the complementary market for pas- senger transport from oil to electricity. We develop and estimate a joint equilibrium model of the German electricity and automobile markets, emphasizing the timing of EV charging, as electricity generation costs and...
Bertille Antoine (Simon Fraser University)
TSE, 8 avril 2025, 15h30–16h50, salle Auditorium 4
In a parametric conditional moment model with time-varying parameters, we develop a new integrated conditional moment (ICM) estimator which uses all information from conditional restrictions seamlessly. Our approach builds on the ICM principle originally proposed by Bierens (1982) and combines it...
Larry Samuelson (Yale University)
Toulouse : TSE, 8 avril 2025, 11h00–12h15, salle Auditorium 3
We examine an analyst who uses a latent representation, reflecting either complexity constraints or prior information, or organize her estimating of a data generating process and subsequent updating and prediction. We draw connections between this setting and problems of misspecified learning and...
