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"Meen, Geoffrey"
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Regional House Prices and the Ripple Effect: A New Interpretation
In Britain, house prices exhibit a distinct spatial pattern over time, rising first in a cyclical upswing in the south-east and, then, spreading out over the rest of the country. This is known as the ripple effect. Although previous studies have shown that, statistically, the ripple effect is a valid representation of the data, providing convincing economic explanations is less straightforward. Some studies have concentrated on the role of migration; others argue that the pattern reflects different regional growth rates. This paper suggests that structural differences in regional housing markets are important. A new model of house prices for the regions in Great Britain is devised and estimated in which the coefficients exhibit non-random spatial patterns. The coefficients reflect structural differences between the regions and it is shown, through simulations, that the model can generate a ripple effect irrespective of regional growth patterns.
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Spatial housing economics
This introduction to the virtual special issue surveys the development of spatial housing economics from its roots in neoclassical theory, through more recent developments in social interactions modelling, and touching on the role of institutions, path dependence and economic history. The survey also points to some of the more promising future directions for the subject that are beginning to appear in the literature. The survey covers elements of hedonic models, spatial econometrics, neighbourhood models, housing market areas, housing supply, models of segregation, migration, housing tenure, subnational house price modelling including the so-called ripple effect, and agent-based models. Possible future directions are set in the context of a selection of recent papers that have appeared in Urban Studies. Nevertheless, there are still important gaps in the literature that merit further attention, arising at least partly from emerging policy problems. These include more research on housing and biodiversity, the relationship between housing and civil unrest, the effects of changing age distributions – notably housing for the elderly – and the impact of different international institutional structures. Methodologically, developments in Big Data provide an exciting framework for future work.
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Planning for housing in the post-Barker era: affordability, household formation, and tenure choice
The Barker Review of Housing Supply recommended the greater use of market indicators as the basis for providing sufficient land for future housing requirements. Worsening affordability would be a sign that more land is required. However, the traditional approach to land release used by planners is based on trend household projections. The paper shows that this will typically lead to worsening affordability over time. The paper, therefore, develops an alternative economic model more suitable to the post-Barker era, covering both household formation and tenure choice. The model is used to analyse a range of policy issues, including raising home-ownership rates and home-ownership sustainability.
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On the long-run solution to aggregate housing systems
This paper explores the properties of dynamic aggregate housing models. In conventional models, in response to demand shocks the primary adjustment mechanism is through prices and changes in housing supply. However, the size of the supply response depends on the price elasticity of supply and in countries such as the UK where the elasticity is low, house prices can rise sharply, worsening affordability. But this ignores the roles of housing risk and credit markets which affect the user cost of capital and the paper demonstrates that models that explicitly introduce a housing risk premium have an additional price stabiliser. The importance is shown through stochastic simulations; these simulations also demonstrate that conventional models used for forecasting and policy analysis may overstate future house price growth.
本文探讨动态集合住宅模型的特征。在传统模型中，为了应对需求冲击，主要的调整机制是通过价格和住房供应的变化。然而，供应反应的规模取决于供应的价格弹性，在英国等弹性较低的国家，房价可能会大幅上涨从而降低可负担性。但这忽略了住房风险和信贷市场的作用，它们影响资本的使用成本，本文证明，明确引入住房风险溢价的模型具有额外的价格稳定因素。重要性通过随机模拟显示；这些模拟还表明，用于预测和政策分析的传统模型可能高估了未来的房价增长。
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Homeownership for Future Generations in the UK
This paper constructs a housing market model to analyse conditions for different generations of households in the UK. Previous policy work has suggested that babyboomers have benefitted at the expense of younger generations. The model relies on a form of financial accelerator in which existing homeowners reinvest a proportion of the capital gains on moving home. The model is extended to look at homeownership probabilities. It also explains why an increasing share of mortgages has gone to existing owners, despite market liberalisation and securitisation. In addition, the model contributes to the explanation of volatility.
Journal Article
Ten New Propositions in UK Housing Macroeconomics: An Overview of the First Years of the Century
In the mid 1990s, Meen set out a series of propositions concerning the relationship between housing and the macro economy during the 1980s and early 1990s. This paper provides 10 further propositions for the early years of this century, taking into account recent research and policy concerns. The first five propositions concern housing market risk, whereas the remaining issues deal with the sustainability of homeownership. The empirical evidence presented finds that there is limited evidence for bubbles over the past 10 years and models of house prices are stable. Furthermore, housing possessions are unlikely to fall to the levels observed in the early 1980s. It is also suggested that the private rental market may not expand at the same rate as in the past 10 years, but there are risks to homeowners down the income distribution. Finally, the main beneficiaries of new affordability targets may be existing rather than new households.
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House Price Appreciation, Transactions and Structural Change in the British Housing Market: A Macroeconomic Perspective
This paper constitutes the first of two interrelated studies and is concerned with the relationship between house prices and transactions. Using aggregate time–series data, we find a strong relationship in Britain between the two variables, but the relationship changed during the 1990s. Transactions became much lower. We suggest that structural changes in macroeconomic relationships are increasingly likely to occur in a world of greater inequality and our results are one symptom. We argue that macroeconomic estimation needs to be complemented by careful microeconomic analysis. The second study, also appearing in this issue, therefore examines the microeconomic aspects of the issue.
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The economic consequences of mortgage debt
Unsurprisingly, a great deal of attention has been paid to the economic consequences of the credit crunch. However, this paper shows that the credit crunch was preceded by a strong build-up of mortgage debt internationally, which, in the long run, could turn out to be more significant than the credit crunch itself. Indeed, the debt build-up suggests that the credit crunch is more likely to reoccur, because highly-indebted households have weaker buffers to withstand unexpected shocks to their incomes or to interest rates. The paper presents a model that can explain the debt build-up and changes to the distribution of debt between existing owners and first-time buyers, which hinders access to home-ownership for the latter, even amongst those households who would be considered as credit-worthy.
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The Distribution of London Residential Property Prices and the Role of Spatial Lock-in
Much of mainstream economic analysis assumes that markets adjust smoothly, through prices, to changes in economic conditions. However, this is not necessarily the case for local housing markets, whose spatial structures may exhibit persistence, so that conditions may not be those most suited to the requirements of modern-day living. Persistence can arise from the existence of transaction costs. The paper tests the proposition that housing markets in Inner London exhibit a degree of path dependence, through the construction of a three-equation model, and examines the impact of variables constructed for the 19th and early 20th centuries on modern house prices. These include 19th-century social structures, slum clearance programmes and the 1908 underground network. Each is found to be significant. The tests require the construction of novel historical datasets, which are also described in the paper.
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