Abstract
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 suspected. This method draws from latent class models to group observations in a straightforward data-driven manner. Additionally, the unique information about each submarket is easily derived and summarized. Results are also shown to more convincingly sort submarkets than a prior study in the same area that used more comprehensive data.
Original language | English |
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Pages (from-to) | 577-594 |
Number of pages | 18 |
Journal | Journal of Real Estate Research |
Volume | 34 |
Issue number | 4 |
State | Published - 2012 |