This paper seeks to address the problem of the empirical identification of housing market segmentation,once we assume that submarkets exist. The typical difficulty in identifying housing submarkets when dealing with many locations is the vast number of potential solutions and, in such cases, the use of the Chow test for hedonic functions is not a practical solution. Here, we solve this problem by undertaking an identification process with a heuristic for spatially constrained clustering, the"Housing Submarket Identifier" (HouSI). The solution is applied to the housing market in the city of Barcelona (Spain), where we estimate a hedonic model for fifty thousand dwellings aggregated into ten groups. In order to determine the utility of the pr...
Much of the housing sub-market literature has focused on establishing methods thatallow the partitio...
The research methodology comprises theoretical, empirical and evaluation stages. The theoretical st...
The improvement of property price modelling accuracy using property market segmentation approaches i...
This paper seeks to address the problem of the empirical identification of housing market segmentati...
Although there are numerous reasons for real estate analysts to construct spatial housing submarkets...
Although there are numerous reasons for real estate analysts to construct spatial housing submarkets...
It has long been argued that the housing market is spatially compartmentalized within a metropolitan...
This paper seeks to let data define urban housing market segments, replacing the conventional admini...
This article presents a data-driven framework for housing market segmentation. Local marginal house ...
In this paper, a model of spatial association in the Los Angeles housing market is considered. Spati...
We maintain that the appropriate definition of submarkets depends on the use to which they will be p...
It has long been argued that the housing market is spatially subdivided within an urban area. The ar...
We test an approach to spatial housing sub-market delineation using street segment as the spatial un...
Neighborhood correlates of house price changes for the San Francisco Bay area are analyzed for the m...
This article presents a data-driven framework for housing market segmentation. Local marginal house ...
Much of the housing sub-market literature has focused on establishing methods thatallow the partitio...
The research methodology comprises theoretical, empirical and evaluation stages. The theoretical st...
The improvement of property price modelling accuracy using property market segmentation approaches i...
This paper seeks to address the problem of the empirical identification of housing market segmentati...
Although there are numerous reasons for real estate analysts to construct spatial housing submarkets...
Although there are numerous reasons for real estate analysts to construct spatial housing submarkets...
It has long been argued that the housing market is spatially compartmentalized within a metropolitan...
This paper seeks to let data define urban housing market segments, replacing the conventional admini...
This article presents a data-driven framework for housing market segmentation. Local marginal house ...
In this paper, a model of spatial association in the Los Angeles housing market is considered. Spati...
We maintain that the appropriate definition of submarkets depends on the use to which they will be p...
It has long been argued that the housing market is spatially subdivided within an urban area. The ar...
We test an approach to spatial housing sub-market delineation using street segment as the spatial un...
Neighborhood correlates of house price changes for the San Francisco Bay area are analyzed for the m...
This article presents a data-driven framework for housing market segmentation. Local marginal house ...
Much of the housing sub-market literature has focused on establishing methods thatallow the partitio...
The research methodology comprises theoretical, empirical and evaluation stages. The theoretical st...
The improvement of property price modelling accuracy using property market segmentation approaches i...