Modeling Spatial and Temporal House Price Patterns: A Comparison of Four Models

Modeling Spatial and Temporal House Price Patterns: A Comparison of Four Models This research reports results from a competition on modeling spatial and temporal components of house prices. A large, well-documented database was prepared and made available to anyone wishing to join the competition. To prevent data snooping, out-of-sample observations were withheld; they were deposited with one individual who did not enter the competition, but had the responsibility of calculating out-of-sample statistics for results submitted by the others. The competition turned into a cooperative effort, resulting in enhancements to previous methods including: a localized version of Dubin’s kriging model, a kriging version of Clapp’s local regression model, and a local application of Case’s earlier work on dividing a geographic housing market into districts. The results indicate the importance of nearest neighbor transactions for out-of-sample predictions: spatial trend analysis and census tract variables do not perform nearly as well as neighboring residuals. The Journal of Real Estate Finance and Economics Springer Journals

Modeling Spatial and Temporal House Price Patterns: A Comparison of Four Models

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Kluwer Academic Publishers
Copyright © 2004 by Kluwer Academic Publishers
Economics; Regional/Spatial Science; Financial Services
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