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Felix Dammann, Néofytos Rodosthenous et Stéphane Villeneuve
2025, à paraître
We introduce a non-zero-sum game between a government and a legislative body to study the optimal level of debt. Each player, with different time preferences, can intervene on the stochastic dynamics of the debt-to-GDP ratio via singular stochastic controls, in view of minimiz-ing non-continuously...
Marion Hoffman, Christoph Stadtfeld et Timon Elmer
Dyadic isolation is the tendency of some individuals to be involved in pairwise interactions rather than in larger group interactions. This article investigates the interpersonal processes associated with the dyadic isolation of individuals with depressive symptoms. We hypothesize that such...
Giacomo Lemoli
This paper studies the relationship between ethnic media, which produce content in a minority language, and the success of ethnic parties. I argue that, by embedding cultural traits in entertainment products, media outlets can shape the salience of group identity, which helps parties’ mobilization...
Marianne Andries, Milo Bianchi, Karen Huynh et Sébastien Pouget
In an investment experiment, we show variations in information affect belief and decision behaviors within the information-beliefs-decisions chain. Subjects observe the time series of a risky asset and a signal that, in random rounds, helps predict returns. When they perceive the signal as useless...
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...
Abdelaati Daouia et Gilles Stupfler
n° 24-1546, 2025, à paraître
Extremiles are a least squares alternative to quantiles, determined by probability-weighted moments rather than tail probabilities. They benefit from several interpretations and closed form expressions that are equivalent for continuous distributions, and they characterize a distribution just as...
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...
Charlotte Cavaillé, Daniel L. Chen et Karine Van Der Straeten
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...
Laurent Miclo
