The housing market is complex, multidimensional and depends on the variability of external factors and the amount of information available to the agents involved in the process. Despite the challenges associated to this theme, its relevance in the socioeconomic and territorial context, sustains...

The paper presents a foresight analysis methodology and its empirical application in the context of housing market. This work was developed in the context of a wider research project, "Drivers Of housiNg demand in Portuguese Urban sysTem" - DONUT, which analyses the Portuguese housing market....

This presentation emphasizes the quantitative analysis of space in relation to hedonic housing price models. Three aspects of space will be highlighted: i) spatial heterogeneity (spatial patterns): hedonic housing amenities may be valued differently in different locations which are related to...

Spatial homogeneity is a strong assumption in the hedonic housing price context; if not analyzed conveniently it can be a potential source of specification errors. Spatial heterogeneity occurs when a territorial segmentation exists in the housing market and, therefore, either the hedonic prices...

The socioeconomic importance of housing and its medium- and long-term investment returns requires a significant effort to predict future dynamics to ensure that the different real estate market agents make the best decisions. Furthermore, the territory structure and the lack of information and...

A decision problem is relatively complex and broadly involves two distinct moments, i) information gathering and ii) use of available information and decision-making. In the first case one can discuss the potential of rigorous methods (statistical analysis and modelling) commonly used to enable...