Jump to navigation
Marie-Françoise Calmette
n. 449, January 2026
Camille Mondon, Thi-Huong Trinh, Anne M. Ruiz, and Christine Thomas-Agnan
vol. 211, n. 105522, January 2026
Invariant coordinate selection (ICS) is a dimension reduction method, used as a preliminary step for clustering and outlier detection. It has been primarily applied to multivariate data. This work introduces a coordinate-free definition of ICS in an abstract Euclidean space and extends the method...
Colombe Becquart, Aurore Archimbaud, Anne M. Ruiz, Luka Prilc, and Klaus Nordhausen
vol. 211, n. 105521, January 2026
Invariant Coordinate Selection (ICS) is a multivariate technique that relies on the simultaneous diagonalization of two scatter matrices. It serves various purposes, including its use as a dimension reduction tool prior to clustering or outlier detection. ICS’s theoretical foundation establishes...
Doh-Shin Jeon, Jay Pil Choi, and Michael Whinston
vol. 116, n. 1, January 2026, p. 332–374
We develop a leverage theory of tying in markets with network effects. When a monopolist in one market cannot perfectly extract surplus from consumers, tying can be a mechanism through which unexploited consumer surplus is used as a demand-side leverage to create a “quasi-installed base” advantage...
Mengchen Dong, Jane Conway, Jean-François Bonnefon, Azim Shariff, and Iyad Rahwan
vol. 81, n. 1, January 2026, pp. 53–67
The frontier of artificial intelligence (AI) is constantly moving, raising fears and concerns whenever AI is deployed in a new occupation. Some of these fears are legitimate and should be addressed by AI developers-but others may result from psychological barriers, suppressing the uptake of a...
Jorge Ale-Chilet, Cuicui Chen, Jing Li, and Mathias Reynaert
vol. 93 (1), January 2026, pp. 35–71
We study collusion among firms against imperfectly monitored environmental regulation. Firms increase variable profits by violating regulation and reduce expected noncompliance penalties by violating jointly. We consider a case of three German automakers colluding to reduce the effectiveness of...
Haneul Jang, Vidrige H. Kandza, Francy Kiabiya Ntamboudila, and Adam H. Boyette
December 2025
Women’s decision-making power within households is a critical aspect of gender equality, influencing the well-being of household members and family dynamics. This study examines women’s perceived autonomy in household decision-making among BaYaka hunter-gatherers and Bandongo fisher-farmers in a...
Brian Flanagan, Guillaume Almeida, Daniel L. Chen, and Angela Gitahi
vol. 35, n. 1, 2025, p. 117–134
With AI now passing the bar, and with increasing court caseloads worldwide hampering access to justice, there are calls for judges to make use of chatbots to help expedite their work. Such calls pose a normative question: whether our ideal of the rule of law is consistent with judicial reliance on...
Elliott Ash, Sam Asher, Aditi Bhowmick, Sandeep Bhupatiraju, Daniel L. Chen, Tanaya Devi, Christoph Goessmann, Paul Novosad, and Bilal Siddiqi
2025, pp. 1–45
We study judicial in-group bias in Indian criminal courts using newly collected data on over 5 million criminal case records from 2010–2018. After classifying gender and religious identity with a neural network, we exploit quasi-random assignment of cases to judges to determine whether judges favor...
Eva-Madeleine Schmidt, Clara Bersch, Nils Köbis, Jean-François Bonnefon, Iyad Rahwan, and Mengchen Dong
vol. 6, n. 100223, December 2025
As artificial intelligence (AI) chatbots become increasingly integrated into everyday life, it is important to understand how direct interaction with such systems shapes public sentiment toward AI more broadly. Leveraging a unique window in April 2023—when many individuals still had little or no...
