Objective
This project studies dynamic mechanisms. By “dynamic mechanisms”, we mean policies to which a principal (e.g. a seller, an employer, or a regulator) can commit to induce the agents (e.g. buyers, employees, or regulated firms) to take the desired actions over time. Several components of the project are envisaged:
- Competition in dynamic mechanisms.
o I propose a competitive setting in which agents (e.g. buyers or workers) learn about the offers of different principals over time. Agents may receive more than one offer at a time, leading to direct competition between mechanisms. Received offers are agents’ private information, permitting strategic delay of acceptance (for instance, an agent may want to wait to evaluate new offers that received in the future).
- Robust predictions for a rich class of stochastic processes.
o We study optimal dynamic mechanisms for agents whose preferences evolve stochastically with time. We develop an approach to partially characterizing these mechanisms which (unlike virtually all of the existing literature) does not depend on ad-hoc restrictions on the stochastic process for preferences.
- Efficient bilateral trade with budget balance: dynamic arrival of traders
o I study bilateral trade with budget balance, when traders (i) arrive over time, and (ii) have preferences which evolve stochastically with time. The project aims at an impossibility result in this setting: contrary to the existing literature which does not account for dynamic arrivals, budget-balanced efficient trade is typically impossible, even for very patient traders.
- Pre-event ticket sales and complementary investments
o We provide a rationale for the early allocation of capacity to customers for events such as flights and concerts based on customers’ demand for pre-event complementary investments (such as booking a hotel or a babysitter). We examine efficient and profit-maximizing mechanisms.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-STG - Starting Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2016-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
CO4 3SQ Colchester
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.