Objective
It is aimed to understand the economic consequences of multilateral private information, and to obtain corresponding policy implications. The focus will be on two types of contexts: (i) oligopolistic firms seeking to constitute a collusive agreement, having private information about their costs and/or the quality of their products; (ii) agents trading in an otherwise perfectly competitive environment, having private information about their preferences and/or the quality of the products that they bring to the market. In the presence of multilateral adverse selection, a small number of firms may not be able to reach a cooperative agreement to divide the market if a firm's willingness to cooperate is interpreted as a sign of weakness by the other firms. Knowing that the other firms are willing to cooperate and, therefore, are relatively weak, if a firm is still willing to cooperate, this reveals its weakness to an even greater extent. As a result of such a cascade, firms may never be able to establish a cooperative agreement. In an otherwise perfectly competitive environment plagued by adverse selection, if an agent purchases a good that he/she cannot distinguish from other goods, the agent should receive the good that is the cheapest among those that he/she cannot distinguish from the purchased good. General equilibrium analysis of such economic contexts can be made possible by using an analytical trick of distinguishing goods not only by their physical characteristics but also by the agent that brings them to the market. The novel insights generated from these investigations, and the understanding of their scope of validity, matter to competition policy in oligopolistic and approximately competitive industries. They can also be used as building blocks for further research. In particular, general equilibrium results should be amenable of application to macroeconomic modelling and policy design.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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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.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
MSCA-IF-EF-ST - Standard EF
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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) H2020-MSCA-IF-2014
See all projects funded under this callCoordinator
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.
31080 TOULOUSE
France
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.