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Frontiers in Design

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Frontiers in Mechanism Design Methodology and Applications

Mechanism design is the engineering side of economics. Research findings in this field have helped governments and practitioners worldwide design better institutions: auctions that are more profitable or efficient; labour markets... ver más

31/08/2022

UNIVERSITY COLLEGE...

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

UNIVERSITY COLLEGE LONDON No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

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

ERC-CoG-2015: ERC Consolidator Grant Scope:Objectives

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2 Participantes

UNIVERSITY COLLEGE LONDON

1.64M€ | Lider

FCC CONSTRUCCION

390.98K€ | Participante

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Duración del proyecto: 76 meses Fecha Inicio: 2016-04-27
Fecha Fin: 2022-08-31

Líder del proyecto

UNIVERSITY COLLEGE LONDON No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Mechanism design is the engineering side of economics. Research findings in this field have helped governments and practitioners worldwide design better institutions: auctions that are more profitable or efficient; labour markets that improve the match between employees and employers; and better ways to assign students to public schools. The cornerstone of mechanism design is the revelation principle, which provides a canonical class of mechanisms and turns the mechanism-selection problem (which a priori may appear unmanageable) to a constrained optimization problem. The standard mechanism design paradigm relies on three fundamental assumptions: 1. The designer of the institution—the principal—does not have any privileged information. 2. The principal chooses the mechanism and commits to it once and for all. 3. There is no interrelationship of the mechanism with outside markets. In addition, almost the entire mechanism design literature assumes that private information is unverifiable (soft). These assumptions often fail in today’s big data world: Firms (online retailers, insurance companies, banks) do have privileged—and often certifiable—information that may affect contractual terms they propose. Also, they interact repeatedly with the same agents and, as they learn about them, they attempt to change the terms by making personalized offers. Finally, often a mechanism—e.g. a government insurance program—interacts with private insurance markets. The proposed research aims at providing methods and foundations to design optimal mechanisms at precisely those highly relevant situations: 1. mechanism-design by an informed principal, 2. design of mechanisms and their transparency when the principal lacks commitment, 3. mechanism-design when an intervention interacts with markets. The latter part of the project aims to employ these cutting-edge tools to revisit the design of insurance markets.

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