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Marie Claire Villeval

Researcher at Centre national de la recherche scientifique

Publications -  344
Citations -  7802

Marie Claire Villeval is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Social dilemma & Competition (economics). The author has an hindex of 38, co-authored 335 publications receiving 7013 citations. Previous affiliations of Marie Claire Villeval include Aarhus University & University of Innsbruck.

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Monetary and Non-Monetary Punishment in the Voluntary Contributions Mechanism

TL;DR: A demand for behavioral norms arises when members of a group have individual incentives to take actions that reduce the group's overall welfare (James S. Coleman, 1990). Norms require enforcement with a system of sanctions that penalize deviations from acceptable behavior (George C. Homans, 1961).
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Monetary and Nonmonetary Punishment in the Voluntary Contributions Mechanism

TL;DR: In this paper, the authors replicated and extended the experiment of Fehr and Gaechter (2000) that analyzes the effect of an opportunity to punish others on the level contributions in the Voluntary Contributions Mechanism.
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The Dark Side of Competition for Status

TL;DR: In this article, the role of status-seeking behavior in sabotage and cheating activities aiming at improving one's performance ranking in a flat-wage environment is investigated, and the authors find that average effort is higher when individuals are informed about their relative performance.
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The Dark Side of Competition for Status

TL;DR: This work investigates experimentally the role of status-seeking behavior in sabotage and cheating activities aiming at improving one’s performance ranking in a flat-wage environment and finds that average effort is higher when individuals are informed about their relative performance.
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Tax evasion and social interactions

TL;DR: In this article, the authors extend the standard tax evasion model by allowing for social interactions and show that intrinsic nonlinearity between individual and group responses is sufficient to identify the model without imposing any exclusion restrictions.