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Individual decisions and macroeconomic robustness

Objective

Model uncertainty is a key issue and an active research area in Macro-Finance. Its study, pioneered by Hansen and Sargent, substantially improves the treatment of uncertainty in Macro-Finance models and the robustness of their conclusions. The interest of central banks on problems related to model uncertainty is a clear signal of the relevance of this novel concept and the related theoretical framework. Model uncertainty in Macro-Finance and ambiguity in Decision Theory share a common insight that inspires empirical and theoretical developments: the agents’ ignorance about the “true” probabilistic model that governs the uncertain environments they face. With few exceptions, decision theorists have studied ambiguity mostly in static contexts that are insufficient for the analysis of the steady state and dynamic decision problems that characterize Macro-Finance. Hence, this field keeps relying on decision models that cannot cope with model uncertainty.
Our research agenda aims to create a unified Macro-Finance and Decision Theory framework for the study of model uncertainty, which broadens the scope of Decision Theory and provides novel foundations for a common framework. We will build new steady state and dynamic decision models that are powerful enough for a general analysis of model uncertainty in Macro-Finance. We will also develop a self-confirming equilibrium analysis, which by leaving room for agents to have “wrong” views about models, can much more naturally confront agents with model uncertainty than the rational expectations approach. Our project will foster cross-fertilization and lead to a deeper understanding of the empirical and theoretical effects of uncertainty in Macro-Finance phenomena. Because model uncertainty is pervasive (e.g. which climate model to use? which is the correct production function for human capital?), we expect that our theoretical findings will push the research frontier and the analysis of the role of uncertainty in other fields.

Fields of science (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)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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.

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.

ERC-ADG - Advanced Grant

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2014-ADG

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Host institution

UNIVERSITA COMMERCIALE LUIGI BOCCONI
Net EU contribution

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.

€ 1 394 716,00
Address
VIA SARFATTI 25
20136 Milano
Italy

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Region
Nord-Ovest Lombardia Milano
Activity type
Higher or Secondary Education Establishments
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Total cost

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.

€ 1 394 716,00

Beneficiaries (1)

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