This paper presents a hedonic housing price model for the city of Glasgow in Scotland. The major innovation of the research is the use of hierarchical clustering techniques to identify property submarkets defined by a combination of property types, locations and socioeconomic characteristics of...

Previous work on hedonic price functions tends to have focused on one of a number of specification and estimation issues; namely, market segmentation, choice of functional form, multicollinearity or spatial autocorrelation. The purpose of this paper is to bring together these various strands to...

We use a finite mixture model to identify latent submarkets from household demographics that estimates a separate hedonic regression equation for each submarket. The method is a relatively robust empirical tool to extract submarkets from demographic information with far less effort than...

This paper studies housing markets with multiple segments searched by heterogeneous clienteles. We document market and search activity for the San Francisco Bay Area. Variation within narrow geographic areas is large and differs significantly from variation across those areas. In particular,...

It is well known that risk factors influence how investment portfolios perform from a lender’s perspective; therefore, a thorough risk assessment of the housing market is vital. The aim of this paper was to analyze the risks from housing apartments in different housing market segments by using...

This paper studies housing markets with multiple segments searched by heterogeneous clienteles. We document market and search activity for the San Francisco Bay Area. Variation within narrow geographic areas is large and differs significantly from variation across those areas. In particular,...