Much of the housing sub-market literature has focused on establishing methods that allow the partitioning of data into distinct market segments. This paper seeks to move the focus on to the question of how best to model sub-markets once they have been identified. It focuses on evaluating the...

Most conceptual and applied economic models of the structure of urban office markets have been developed from traditional location theory. In their basic form, these models tend to posit a trade-off between accessibility and space. In the light of changing business practices and...

A major unproven hypothesis in housing economics is that regional ripple effects are caused by household migration between regions. This paper examines household migration and price ripples at the level of local housing markets driven partly by the fact that such migration linkages are likely to...

Economic research on UK housing markets has only recently got to grips with measuring and modelling the impact of planning and other public interventions, although their importance has long been recognised in theory. The interurban panel dataset utilised in this study does represent a step...

The commercial prospects of speculative housebuilders depend crucially on successful land acquisitions. This paper presents new evidence revealing the importance housebuilders attach to networks with other important actors in securing future land supplies. Since networks depend on trust,...

This paper examines factors influencing Australian landlords’ decisions to retain their rental investments. A variety of statistical techniques are applied to uncover the factors precipitating the exit of landlords from rental housing markets. It is found that middle-aged investors are...

This paper examines whether the employment outcomes of Australian labour market programme participants vary according to whether they receive housing assistance. This issue attracted attention when a series of US studies showed that clients of welfare-to-work programmes are more likely to...