Research reveals likely housing winners and losersOctober 11, 2010
The Financial Markets Group at the London School of Economics carried out the research. It developed a life-cycle model to investigate how prices of housing (purchasing and renting), the overall economy and wealth distribution react to changes in technology and financial conditions.
There were a number of conclusions from the investigation, including:
- stricter limitations on land development result in less residential building, which tends to push up rental and purchase prices;
- availability of land for residential development is more important than availability of capital in determining house price trends, especially in built up urban and metropolitan areas;
- people saving to buy a house in a market with less abundant land need larger down payments relative to their income. They take longer to save up and so buy a house later in life - resulting in lower home-ownership rates;
- where land availability is the important factor in the rate of house building, there is greater sensitivity of house prices and rents to the availability of jobs and world interest rates;
- surprisingly, relaxing borrowing constraints had little impact on housing prices (house purchase and rentals), but did increase home-ownership rates;
- as a general rule, when house prices rise, house buyers such as young worker-tenants lose out, whereas house sellers such as retiree homeowners make gains.
The model mirrored the life-cycle choices of homeowners and renters and was used to:
- provide a detailed account of the impact land availability has on the housing market, including land shortages in cities, and restrictions on residential development;
- investigate the housing decisions made by people at different stages in their lives, against a backdrop of movement in the housing market due to factors such as availability of credit, changing interest rates, employment opportunities and growth in the economy;
- evaluate how people's standard of living and welfare respond to such fluctuating factors.
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NOTES FOR EDITORS
1. The project, Home Ownership, Housing Collateral and Aggregate Fluctuations was funded by the Economic and Social Research Council and was carried out by Dr. Alex Michaelides. At the time, he was part of the Financial Markets Group and a reader at the Department of Economics, London School of Economics (LSE), Houghton Street, London, WC2A 2AE. In September 2010, Dr. Michaelides became Professor of Finance at the University of Cyprus.
2. The project's theoretical model was solved numerically in Fortran 90 - a programming language ideally suited to numeric computation. The data came from the US Survey of Consumer Finances and the aggregate data was derived from the US Flow of Funds Accounts and the National Income and Product Accounts.
3. A housing bubble is a situation where there is an enhanced demand for real estate, especially housing, that is often created through artificial means, such as the lowering of interest rates.
4. The Economic and Social Research Council (ESRC) is the UK's largest organisation for funding research on economic and social issues. It supports independent, high quality research which has an impact on business, the public sector and the third sector. The ESRC's total expenditure in 2009/10 was about £211 million. At any one time the ESRC supports over 4,000 researchers and postgraduate students in academic institutions and independent research institutes. More at http://www.esrcsocietytoday.ac.uk
5. The ESRC confirms the quality of its funded research by evaluating research projects through a process of peer review. This research has been graded as outstanding.
Economic & Social Research Council
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