Objective
The existing literature mainly focuses on two kinds of interactions: short-term interactions in which the behavior today does not influence the future, and long-term interactions with the same partner. In the former model, the only stable outcomes are Nash equilibria (which are typically non-efficient), while the latter model allows one to achieve efficient outcomes. Many interesting situations lie somewhere in between, typically when people engage in short-term interactions but future partners may obtain some information about the behavior today. For example, how do people behave when interacting in one-off purchases in an online site with a feedback mechanism (e.g. eBay)?
In this project I will fill the large gap in the literature, by characterizing evolutionary stable outcomes when players have limited information about the partner’s past, and how this stable behavior depends on the richness and the structure of the observed information. This will shed new light on indirect reciprocity and its use to achieve efficiency in social dilemmas.
The evolutionary stable outcomes capture the long run behavior in a dynamic process of cultural learning. Agents are randomly matched in each round to play a game with a new partner. Each agent may observe some information about the partner’s past behavior. New agents, who join the interactions, usually mimic one of the existing behaviors, with a larger tendency to choose more successful incumbents. Occasionally, few agents experiment with a new behavior.
The research agenda includes several theoretical subprojects with various research questions, such as:
(1) Would non-material preferences be stable?
(2) What will be the influence of non-verifiable reports about past behavior?
(3) Which of the (locally) stable outcomes would be selected?
(4) What will happen in asymmetric interactions between professional sellers and non-experienced buyers?
The final subproject experimentally tests the various predictions and key implications.
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.
- social sciences economics and business economics microeconomics
- natural sciences biological sciences evolutionary biology
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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-2015-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.
52900 Ramat Gan
Israel
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.