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Recently, a literature has emerged using empirical techniques to study the evolution of international cities over many centuries; however, few studies examine long-run change within cities. Conventional models and concepts are not always appropriate and data issues make long-run neighbourhood analysis particularly problematic. This paper addresses some of these points. First, it discusses why the analysis of long-run urban change is important for modern urban policy and considers the most important concepts. Second, it constructs a novel data set at the micro level, which allows consistent comparisons of London neighbourhoods in 1881 and 2001. Third, the paper models some of the key factors that affected long-run change, including the role of housing. There is evidence that the relative social positions of local urban areas persist over time but, nevertheless, at fine spatial scales, local areas still exhibit change, arising from aggregate population dynamics, from advances in technology, and also from the effects of shocks, such as wars. In general, where small areas are considered, long-run changes are likely to be greater, because individuals are more mobile over short than long distances. Finally, the paper considers the implications for policy. [ABSTRACT FROM AUTHOR]

A review of the article "Neoliberalism and the City: Or the Failure of Market Fundamentalism" by Mike Berry, which appears in the same issue, is presented.

As a result of the recommendations of the Barker Review of Housing Supply in 2004, the Department of Communities and Local Government in England commissioned the construction of an econometric model of regional housing markets in order to examine the effects of different levels of housing construction on long-run affordability. The model has been regularly used as part of the policy-making process in England. The paper describes the structure of the model, which includes sectors covering house prices, household formation, tenure, migration flows, demographics and labour markets. Furthermore, through simulation analysis, the paper examines some of the key policy questions that have occurred in UK housing in recent years. [ABSTRACT FROM AUTHOR]

This paper considers how local areas become stuck in poverty traps and develops models exhibiting thresholds, where deprivation has to fall to a certain level before taking off. Using aggregate data for local authorities, the paper models cross-section movements of house prices to identify the threshold level of poverty. The paper argues that the resource requirements for bringing the most deprived areas to the take-off point are likely to be high. But for areas that are already close to the threshold, regeneration can be successful. Therefore, identifying the thresholds is important. Testing for thresholds is not straightforward, but the paper provides empirical evidence. The implications for policies concerned with social mixing are not encouraging. However, mixing may be more successful in areas that lie close to the threshold. For example, few high-income households want to live in the most deprived areas if the expected capital gains are low. But capital gains are maximised close to the take-off points. [ABSTRACT FROM AUTHOR]

The Barker Review of Housing Supply was set up in order to address some of the weaknesses that might arise if the UK were to join EMU. The Final Report has quickly become one of the most important documents in housing policy for many years. Broadly, the Review examined the reasons for the weakness of English housing supply. For example, during the 1990s, despite the boom in house prices, private housing construction hardly grew at all. The weakness of supply is one reason why house prices in the UK have risen much faster than the European average. In response to the Review's conclusion that the land-use planning system is the main cause of supply shortages, England will be introducing affordability targets. Regional planning authorities will be required to release more land if they expect targets not to be met. Economic analysis and models will become central to the assessment. The Barker Review provides a good example of how economic analysis can be used to inform the policy debate. This paper looks at the economics underlying the Barker Review, concentrating on an analysis of supply elasticities and the required increases in construction to meet price targets. The latter has been particularly controversial since, under some assumptions, the analysis implies that housing construction in England needs to be approximately doubled in order to bring house price inflation down to European levels. [ABSTRACT FROM AUTHOR]

This paper considers how empirical models of urban housing markets might be constructed as a basis for policy analysis. It is suggested that this is fundamentally more difficult than national or regional models, because of particular characteristics of urban markets--notably, the importance of social interactions, non-linearity and segregation. However, recent advances in the modelling of social interactions point to a possible way forward. The paper begins by reviewing some aspects of this literature and shows how the models generate non-linearities consistent with recent work on thresholds in local housing markets. Simple cellular automata are also used to demonstrate this point and how segregation may arise. A review follows of work on discrete choice models, which include social interactions within their structure. Bringing all the tools together, it is suggested that there is now the potential to construct urban housing models, although a great deal of theoretical and empirical work remains to be done. [ABSTRACT FROM AUTHOR]

Most empirical analysis of property development treats the subcomponents of the construction industry as independent. For example, models of housing construction typically do not consider any relationship with industrial or commercial construction. In fact, there are a number of ways in which changes over time may be interdependent. For example, economic theory suggests that, under some conditions, housing investment crowds out industrial and commercial investment. In general, therefore, if there are interdependencies, the presumption is that the relationship is negative. Here the relationship between new housing and industrial construction is concentrated on. It is found that, in the long run, based on Johansen tests for Britain since the sixties, the relationship is positive – movements are complementary. At first sight, this result is counter-intuitive, at least in an aspatial setting. But, in a spatial setting, the results are consistent with the view that (i) 'jobs move to workers' as relocating firms seek out highly skilled workers who, in turn, search for high quality housing locations; (ii) particularly in SE England, which has a high rate of new firm formation, fast growing new firms are started by high potential entrepreneurs close to where they live. Therefore, new housing and industrial development are self-reinforcing. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

According to recent official projections, 4.4 million new households will be formed in England between 1991 and 2016. These estimates are based on a detailed analysis of demographic trends, but take no account of the effect of potential changes in economic conditions, particularly on the owner-occupancy rate. In this paper, we propose a new approach to modelling sustainable owner-occupancy which places less emphasis on demographics, but considers in more detail the role of market mechanisms through changes in house prices and rates of new construction. [ABSTRACT FROM AUTHOR]

Explores the nature of spatial interactions in Great Britain regional house prices and housing starts using methods taken from the spatial econometrics literature and from cointegration. Extent to which markets are homogeneous, dependent and convergent across the English regions; Spatial dependence in terms of house prices and starts; Housing since the early 1970s.

During the last ten years, macroeconomists have increasingly come to realise that there are important interactions between housing and the wider economy. In some cases, this realisation has come too late to avoid the severe oscillations in the economy that have characterised the period since the mid-1980s. This paper uses a macroeconometric model, specifically designed to capture the interactions, in order to reflect on the experience of the 1980s and early 1990s and to draw theoretical, empirical and policy conclusions in terms of ten propositions. [ABSTRACT FROM AUTHOR]