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Sultan Mehmood, Shaheen Naseer et Daniel L. Chen
2025, à paraître
We provide experimental evidence of teacher-to-student transmission of gender attitudes in Pakistan. We randomly show teachers a pro-women’s rights visual narrative. Treated teachers increase their and students’ support for women’s rights, unbiasedness in gender IATs, and willingness to petition...
Elliott Ash, Daniel L. Chen et Suresh Naidu
Daniel L. Chen, Manoj Kumar, Vishal Motwani et Philip Yeres
Using data from 1946–2014, we show that audio features of lawyers’ introductory statements and lawyers’ facial attributes improve the performance of the best prediction models of Supreme Court outcomes. We infer face attributes using the MIT-CBCL human-labeled face database and infer voice...
Manh-Hung Nguyen, Viet-Ngu Hoang, Son Nghiem et Lan Anh Nguyen
Marc Ivaldi, Nicolas Petit et Selçukhan Unekbas
vol. 86-2, 2025, à paraître
The killer acquisitions theory states that established firms buy new businesses to pre-empt future competition, particularly in the pharmaceutical and digital industries. The theory fuels demand to make merger policy more restrictive. • But is the theory of killer acquisitions supported by...
Margot Dazey et Victor Gay
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 et 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 et 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 et Anne Ruiz-Gazen
2025, 27 pages, à paraître
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 et 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...
