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Margot Dazey, and Victor Gay
2025, forthcoming
How is support for right-wing populist parties affected by exposure to Muslim visibility? Using an original database on French mosques, this article analyzes the relationship between the presence of mosques and support for the Front National at the polling station level in the late 2000s. It finds...
Marc Bourreau, Bruno Jullien, and Yassine Lefouili
We study the impact of horizontal mergers on the incentives of merging firms to invest in incremental innovation. We provide a decomposition of this impact that clarifies the various forces at work and the differences between demand-enhancing and cost-reducing innovation. Moreover, we derive...
Patrick Rey, Yossi Spiegel, and Konrad Stahl
We study the feasibility and profitability of predation in a dynamic environment, using a parsimonious infinite-horizon, complete information setting in which an incumbent repeatedly faces potential entry. When a rival enters, the incumbent chooses whether to accommodate or predate it; the entrant...
Andreas Alfons, Aurore Archimbaud, Klaus Nordhausen, and Anne Ruiz-Gazen
2025, 27 pages, forthcoming
For multivariate data, tandem clustering is a well-known technique aiming to improve cluster identification through initial dimension reduction. Nevertheless, the usual approach using principal component analysis (PCA) has been criticized for focusing solely on inertia so that the first components...
Milo Bianchi, and Marie Brière
We study the introduction of robo-advising on a large set of Employee Saving Plans. Differently from many services that fully automate portfolio decisions, our robo-advisor proposes investment and rebalancing strategies, leaving investors free to follow or ignore them. The resulting human-robot...
Catherine Bobtcheff, Raphaël Lévy, and Thomas Mariotti
vol. 56, n. 2 Summer, 2025, pp. 145–162
Firms receiving independent signals on a common-value risky project compete to be the first to invest. When firms are symmetric and competition is winner-take-all, rents are fully dissipated in equilibrium and the extent to which signals are publicly disclosed is irrelevant for welfare. When...
Yannis Katsoulacos, and Marc Ivaldi
2025Joseph Harrington, and Maarten Pieter Schinkel (eds.), Cambridge University Press, 2025
Daniel L. Chen, Jiafeng Chen, and Gregory Lewis
We provide some simple theoretical results that justify incorporating machinelearning in a standard linear instrumental variable setting, prevalent in empiri-cal research in economics. Machine learning techniques, combined with sample-splitting, extract nonlinear variation in the instrument that...
Marcel Boyer, and Maria Kouyoumijian
U of Toronto Press, 2025, 200 pages, forthcoming
Andrea Attar, Thomas Mariotti, and François Salanié
Victor Chernozhukov, Johannes Hörner, Eliana La Ferrara, and Ivan Werning (eds.), chapter 1, September 2025, forthcoming
