Modeling Spatial Variation in Housing Prices: A Variable Interaction Approach

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Predicting House Prices with Spatial Dependence: A Comparison of Alternative Methods (2010, background): “Other efforts include: Can and Megbolugbe (1997), who investigate a spatial lag model; Pace and Gilley (1997), who develop lattice models; Fik, Ling, and Mulligan (2003), who explore a trend surface model; Thibodeau (2003), who considers the importance of spatial disaggregation in a geostatistical…”
Modeling Spatial Dimensions of Housing Prices in Milwaukee, WI (2007, background): “Simply put, it describes a housing-market operational process in which the same set of housing attributes may yield different housing prices in different parts of the studied region (Bailey and Gatrell, 1995; Fik et al, 2003; Fotheringham et al, 2002; Thëirault et al, 2003).”
Estimation of the Spatial Weights Matrix under Structural Constraints (2013, methodology): “Under Assumption 7, we use the Cholesky decomposition of b W 0 = DTW 0 :DW 0, and restate the null and alternative hypotheses (22) as: H0 : b W 0 = I versus H1 : b W 0 6= I; (23) where b W 0 = DTW 0 1 :b : (DW 0) (1).”
Spatial Dependence, Housing Submarkets, and House Price Prediction (2007, background): “7 For comparison purposes, Fik et al. (2003) note that Freddie Mac prefers to have at least 50% of”