The increasing availability of geospatial data (i.e., exact longitudes and latitudes for each house) has the potential to improve the quality of house price indexes. It is not clear though how best to use this information. We show how geospatial data can be included as a nonparametric spline...

Purpose ‒ The aim of this paper is to demonstrate the application of robust techniques to the estimation of hedonic house price indexes.Design/methodology/approach ‒ We use simulation analysis to compare an index estimated using ordinary least squares (OLS) with several indexes estimated...

This paper estimates and compares methods of constructing disaggregated house price indices from existing house price models using individual sales data for Sydney. Nine alternative house price models are selected to cover the most frequently used methods in the literature: the mean model,...