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The ways to control population flows from cities and to promote integrated communities in the context of Britain are examined. The effects of governmental policies like planning, area-based and fiscal incentives are evaluated. The results of the Schelling (1971) model and the discrete choice model conclude the possible utilization of fiscal policy to influence population distribution.

In this second of two related papers in this issue, the causes of declining levels of housing transactions in Britain during the 1990s are explored. The lower transaction levels resulted [...]

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 [...]

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. [ABSTRACT FROM AUTHOR]

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]