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...