Objective
As a consequence of reforms of the social security systems in the EU, consumers increasingly face numerous investment decisions that involve risk, such as how to allocate their retirement savings between risky and safe assets. However, consumers often fail to make optimal choices. A key aspect in this context is whether and how people integrate (or “bracket”) the many different choices under risk they face. Evidence suggests that people often bracket narrowly, i.e. they view each choice in isolation and not in the context of the other choices they face, thereby often making choices that are not in their best interest.
Understanding what determines how people bracket their choices is therefore of crucial importance. An important open question is whether people can (be induced to) “learn” to bracket broadly through a clever design (or “framing”) of the decision environment. I will investigate this question in a laboratory experiment to establish the scope and limits of learning to bracket broadly. Making the insights transferable across contexts and institutional features requires knowledge about the cognitive mechanisms of this learning. I use recent advances in neuroeconomics to gain a better understanding of these mechanisms using functional magnetic resonance imaging.
The project will build on my initial experience in research on choice bracketing and complement this with the existing strengths in behavioral economics and neuroeconomics, as well as, the excellent research and training infrastructure at Maastricht University.
The insights gained will lead to a better understanding of how individuals deal with multiple decisions involving risk and “the way consumers understand and choose financial services” (European Consumer Agenda). The project will contribute to the design of policy interventions that help consumers make better decisions via a grant proposal with an industry partner and comprehensive dissemination and communication activities.
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.
- natural sciences computer and information sciences data science
- social sciences economics and business economics
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications mobile phones
- engineering and technology medical engineering diagnostic imaging magnetic resonance imaging
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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-2016
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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.
6200 MD Maastricht
Netherlands
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.