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Chiara Canta, Helmuth Cremer, and Firouz Gahvari

vol. 126, n. 1, January 2024, pp. 98–126

We study optimal income taxation in a two-group framework where the private cost of misreporting income is positively correlated with productivity. We show that, if high-wage types always reveal their income truthfully, letting low-wage types cheat would lead to Pareto-superior outcomes regardless...

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Elliott Ash, Daniel L. Chen, and Arianna Ornaghi

vol. 16, n. 1, January 2024, pp. 314–350

Do gender attitudes influence interactions with female judges in U.S. Circuit Courts? In this paper, we propose a judge-specific measure of gender attitudes based on use of gender-stereotyped language in the judge’s authored opinions. Exploiting quasi-random assignment of judges to cases and...

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Frédéric Koessler, Marie Laclau, Jérôme Renault, and Tristan Tomala

vol. 203, n. 1-2, January 2024, p. 477–498

This paper studies zero-sum splitting games with finite sets of states. Players dynamically choose a pair of martingales {pt,qt}t, in order to control a terminal payoff u(p∞,q∞). A first part introduces the notion of “Mertens–Zamir transform" of a real-valued matrix and use it to approximate the...

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Jérôme Bolte, Edouard Pauwels, and Samuel Vaiter

A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, and Sydney Levine (eds.), 2023, pp. 77089–77103

In appropriate frameworks, automatic differentiation is transparent to the user, at the cost of being a significant computational burden when the number of operations is large. For iterative algorithms, implicit differentiation alleviates this issue but requires custom implementation of Jacobian...

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Christine Thomas-Agnan, and Lukas Dargel

vol. 184, n. 4, 2023, p. 143– 151

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Rachael Colley, Umberto Grandi, César Hidalgo, Mariana Macedo, and Carlos Navarrete

Edith Elkind (ed.), 2023

In rank aggregation, members of a population rank issues to decide which are collectively preferred. We focus instead on identifying divisive issues that express disagreements among the preferences of individuals. We analyse the properties of our divisiveness measures and their relation to existing...

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Jérôme Bolte, Edouard Pauwels, and Samuel Vaiter

A. Oh, S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, and K. Cho (eds.), 2023, pp. 77089–77103

Differentiation along algorithms, i.e., piggyback propagation of derivatives, is now routinely used to differentiate iterative solvers in differentiable programming. Asymptotics is well understood for many smooth problems but the nondifferentiable case is hardly considered. Is there a limiting...

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Jérôme Bolte, Lilian Glaudin, Edouard Pauwels, and Matthieu Serrurier

vol. 4, n. 8, 2023, 17 pages

We present a new algorithm to solve min-max or min-min problems out of the convex world. We use rigidity assumptions, ubiquitous in learning, making our method – the backtrack Hölder algorithm applicable to many optimization problems. Our approach takes advantage of hidden regularity properties and...

Article

Pierre Pestieau

vol. 152, n. 4, 2023, pp. 15–26

Le vieillissement démographique entraîne une forte augmentation des besoins liés à la dépendance et à la perte d'autonomie partout en Europe. Cet article traite des questions de financement de la dépendance et de la fourniture des services qu'elle réclame. Il discute du rôle respectif du marché, de...

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Salvatore Di Falco, Carl-Johan Lagerkvist, Céline Nauges, and Timothy J. Richards

vol. 50, n. 4, 2023, p. 1233–1255

In this article, we celebrate the first 50 years of the European Review of Agricultural Economics. We intend to convey some understanding of how the interests of European Review of Agricultural Economics (ERAE) readers change over time as a reflection of how shifting interests show up in our...

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