Spatial and Temporal Dependence in House Price Prediction

This paper incorporates spatial and temporal dependence among housing transactions in predicting future house prices. We employ the spatiotemporal autoregressive model and structure the spatial and temporal weighting matrices as in Pace et al. (1998). We control for the time variation of both the attribute prices and the spatial and temporal dependence parameters through performing the analysis on an annual basis. Spatial heterogeneity is accounted for using experience-based definition of submarkets by real estate professionals. Using a comprehensive housing transaction data set from the Dutch Randstad region, we show that integrating the spatial and temporal dependence within the hedonic modeling improves the prediction power as compared to traditional hedonic model that neglects these effects.

[1]  M.A.J. Theebe,et al.  Planes, Trains, and Automobiles: The Impact of Traffic Noise on House Prices , 2004 .

[2]  R. Pace,et al.  Spatial Autoregression Techniques for Real Estate Data , 1999 .

[3]  R. Kelley Pace,et al.  Performing large spatial regressions and autoregressions , 1997 .

[4]  R. Dubin,et al.  Spatial Autocorrelation: A Primer , 1998 .

[5]  R. Plackett.  Some theorems in least squares. , 1950, Biometrika.

[6]  Marc K. Francke,et al.  The Hierarchical Trend Model for Property Valuation and Local Price Indices , 2004 .

[7]  Eva Cantoni,et al.  Spatial Dependence, Housing Submarkets, and House Price Prediction , 2007 .

[8]  Martin Hoesli,et al.  Defining Housing Submarkets , 1999 .

[9]  H. White.  A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity , 1980 .

[10]  S. Rosen.  Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition , 1974, Journal of Political Economy.

[11]  Risa Palm,et al.  Spatial Segmentation of the Urban Housing Market , 1978 .

[12]  Ronald P. Barry,et al.  Spatiotemporal Autoregressive Models of Neighborhood Effects , 1998 .

[13]  Ingrid Nappi-Choulet,et al.  A Spatiotemporal Autoregressive Price Index for the Paris Office Property Market , 2009 .

[14]  C. F. Sirmans,et al.  A Varying Parameters Approach to Constructing House Price Indexes , 1995 .

[15]  Aysegul Can.  Specification and estimation of hedonic housing price models , 1992 .

[16]  Steven C. Bourassa,et al.  Do Housing Submarkets Really Matter , 2003 .

[17]  Henry J. Munneke,et al.  A Metropolitan Transaction-Based Commercial Price Index: A Time-Varying Parameter Approach , 2001 .

[18]  Ronald P. Barry,et al.  Quick Computation of Spatial Autoregressive Estimators , 2010 .

[19]  M. D. Ugarte,et al.  Alternative Models for Describing Spatial Dependence among Dwelling Selling Prices , 2004 .

[20]  S. Basu,et al.  Analysis of Spatial Autocorrelation in House Prices , 1998 .

[21]  J. Clapp,et al.  Erratum: Spatiotemporal Autoregressive Models of Neighborhood Effects , 1999 .

[22]  R. Pace,et al.  Sparse spatial autoregressions , 1997 .

[23]  Ronald P. Barry,et al.  A method for spatial–temporal forecasting with an application to real estate prices , 2000 .

[24]  Craig Watkins,et al.  Classifying office submarkets , 2001 .

[25]  Neil Dunse,et al.  Testing for the Existence of Office Sub-markets: A Comparison of Evidence from Two Cities , 2002 .

[26]  A. Gelfand,et al.  The Dynamics of Location in Home Price , 2004 .

[27]  V. Kerry Smith,et al.  Market segmentation and valuing amenities with hedonic models: The case of hazardous waste sites☆ , 1990 .

[28]  Emilio Casetti,et al.  Generating Models by the Expansion Method: Applications to Geographical Research* , 2010 .

[29]  Bradford Case,et al.  Modeling Spatial and Temporal House Price Patterns: A Comparison of Four Models , 2004 .

[30]  Aysegul Can.  The Measurement of Neighborhood Dynamics in Urban House Prices , 1990 .