Objective
Popular wisdom has it that no other investment is as ‘safe as houses’. Households have rigorously followed this investment advice. At the beginning of the 20th century, home ownership was the exception, not the rule. 100 years later, about two thirds of Europeans own the houses they live in. Homes have become the most important asset of households and mortgage loans have driven the growth of the financial sector, becoming its main asset. In the 2008 crisis, the housing market was the epicentre of shocks to the wealth of households and the health of banks.
The rise of debt-financed home ownership has transformed household portfolios and the balance sheets of banks. Yet the effects on the macroeconomy and the implications for financial stability are not well understood. We do not have a good understanding of how risky residential real estate is as an asset, how growing housing wealth affected the overall wealth distribution, or why housing and credit markets are prone to creating boom-bust cycles. SafeHouse aims to close this gap and break new ground in the macroeconomic and financial history of housing markets in 13 European countries as well as Australia, Canada, Japan and the U.S. from 1870–2015.
I will pursue three main goals. First, I will determine the long-run price of housing risk, its time variation, and geographic heterogeneity, based on an extensive data collection effort. Second, I will track the evolution of housing wealth in the 20th century and quantify its contribution to much-debated trends in wealth inequality. Third, I will study the causes of boom-bust episodes in housing markets, focusing in particular on the interaction between house prices and credit supply. By combining the production of new historical data with state-of-the-art quantitative analysis, SafeHouse will open new avenues for macroeconomic and financial research on housing markets, inequality, and financial stability.
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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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-COG - Consolidator 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-2017-COG
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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.
24105 KIEL
Germany
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.