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Matti Liski, and François Salanié
2026, forthcoming
Jérôme Bolte, Tam Le, Eric Moulines, and Edouard Pauwels
Motivated by the extensive application of approximate gradients in machine learning and optimization, we investigate inexact subgradient methods subject to persistent additive errors. Within a nonconvex semialgebraic framework, assuming boundedness or coercivity, we establish that the method yields...
Rossi Abi Rafeh, Pierre Dubois, Rachel Griffith, and Martin O'Connell
We develop a dynamic equilibrium model of firm competition to analyze the effects of counterfactual policies, such as taxes and advertising restrictions, on pricing, advertising, consumption, and welfare. Using micro-level data, we estimate how consumer exposure to television commercials influences...
Christophe Cahn, Patrick Fève, and Julien Matheron
Violeta I. Haas, Konstantin Bogatyrev, Tarik Abou-Chadi, Heike Klüver, and Lukas F. Stoetzer
Do strategies of state-sponsored homophobia translate into electoral gains? While a growing body of literature documents the increasing politicization of LGBTQ- and gender-related issues by illiberal elites, little is known about the electoral effects of these strategies. We address this important...
Michael Albertus, and Victor Gay
Early modern European powers were beset by episodic unrest as they sought to consolidate their authority and build empires. We examine how growing state communication networks and the penetration of society impacted unrest by combining original and detailed parish-level data from pre-Revolutionary...
Victor Gay, Paula Gobbi, and Marc Goni
Cécile Aubert, Yann Raineau, and Marc Raynal
Decision Support Systems (DSS) with embedded best management practices help reduce pesticide use. However, costly experimentation is necessary to learn about the quality of their data processing and recommendation models. We study farmers’ choices to try such a DSS. Due to order effects, learning...
Jean-Paul Décamps, Fabien Gensbittel, and Thomas Mariotti
We prove the existence of a Markov-perfect equilibrium in randomized stopping times for a model of the war of attrition in which the underlying state variable follows a homogenous linear diffusion. We first prove that the space of Markovian randomized stopping times can be topologized as a compact...
Andreea Enache, and Andrew Rhodes
We consider a setting in which a platform matches buyers and sellers, who then wish to transact with each other multiple times. The platform charges fees for hosting transactions but also offers convenience benefits. We consider two scenarios. In one scenario, all transactions must occur on the...
