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ROBUST

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Robust Mechanism Design and Robust Prediction in Games

In the last several decades, it has been extensively studied how strategic behavior of economic agents could affect the outcomes of various institutions. Game theory and mechanism design theory play key roles in understanding econ... ver más

31/08/2022

INPT

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

INSTITUT NATIONAL POLYTECHNIQUE DE TOULOUSE No se ha especificado una descripción o un objeto social para esta compañía.

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Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2022-08-31

ERC-2016-STG: ERC Starting Grant

I+D

Cerrada hace 9 años

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No hay información privada compartida para este proyecto. Habla con el coordinador.

2 Participantes

INPT

1.30M€ | Lider

TWONAV

317.65K€ | Participante

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Duración del proyecto: 69 meses Fecha Inicio: 2016-11-21
Fecha Fin: 2022-08-31

Líder del proyecto

INSTITUT NATIONAL POLYTECHNIQUE DE TOULOUSE No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 1M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto In the last several decades, it has been extensively studied how strategic behavior of economic agents could affect the outcomes of various institutions. Game theory and mechanism design theory play key roles in understanding economic agents' possible behavior in those institutions, its welfare consequences, and how we should design economic institutions to achieve desired social objectives even if the agents behave strategically for their own interests. However, existing studies mostly focus on somewhat narrow classes of economic environments by imposing restrictive assumptions. The proposed projects aim at providing novel theoretical frameworks which enable us to study agents' behavior and desirable institutions under much less assumptions. I believe that the projects have significant relevance in policy recommendation in practice and empirical studies, even though the proposed projects are primarily theoretical. In mechanism design, most papers in the literature focus on environments with independently distributed private information. We propose two novel (robustness-based) approaches to analyze mechanism design in correlated environments, motivated by their practical and empirical relevance. The robustness brought by my approach can be useful to mitigate certain types of misspecifications in mechanism design in practice. Moreover, the desirable robust mechanisms I obtain appear to be more sensible, and hence, can be useful for empirical studies of auction and other mechanism design problems. In game theory, it is often assumed that the game to be played is common knowledge, or even with uncertainty, uncertain variables are assumed to follow a common-knowledge prior .However, in many situations in reality, those do not seem to be satisfied. Our goal is to provide a novel theoretical framework to predict players' behavior in such incompletely specified games, and to identify conditions for (monotone) comparative statics. Both could be useful in empirical studies.

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