Objective
Cost-benefit analyses are routinely used by policy makers when designing environmental policy to weigh the costs and benefits of different policy alternatives, and stated choice experiments are used to value the non-marketed costs and benefits included in such analyses. Standard practice in stated choice experiments is to create a hypothetical market environment in which people choose among competing policy alternatives under the assumptions that they have complete information about all available policy alternatives, and that they are perfectly rational and maximize utility based on a clearly defined set of preferences, which can be retrieved when needed in any choice situation. In reality, these assumptions are questionable. Drawing on accumulating evidence from economics, psychology and marketing, this project aims to understand how searching for information about policy alternatives affects stated preference formation, learning and choice, and the extent to which this can address hypothetical bias. The project develops a novel experimental procedure that addresses important issues in stated choice experiments and make significant and original methodological contributions that advance current practice beyond state-of-the-art in both experimental design and data analysis. Improving the reliability of stated choice experiments will lead to improved estimates of non-marketed costs and benefits included in cost-benefit analyses. Through a broad uptake and use of these methods by stated preference practitioners, and increased awareness among policy makers, the methodological developments in this project can lead to improved policy recommendations and implementation across the EU.
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
- social sciences psychology
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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-2017
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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.
FK9 4LA Stirling
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.