This paper seeks to let data define urban housing market segments, replacing the conventional administrative or any pre-defined boundaries used in the previous housing submarket literature. We model housing transaction data using a conventional hedonic function. The hedonic residuals are used to...

This study examines the potential of a two-order spatiotemporal autoregressive model with a Bayesian heteroskedasticity robust procedure in modeling strata-titled Singapore office unit transaction prices and in constructing transaction-based disaggregate office price indexes. The model reduces...

By splitting the spatial effects into building and neighborhood effects, this paper develops a two order spatio-temporal autoregressive model to deal with both the spatio-temporal autocorrelations and the heteroscedasticity problem arising from the nature of multi-unit residential real estate...

This paper seeks to let data define urban housing market segments, replacing the conventional administrative or any pre-defined boundaries used in the previous housing submarket literature. We model housing transaction data using a conventional hedonic function. The hedonic residuals are used to...

Views, being a qualitative and subjective variable, are difficult to measure and quantify for valuation purposes. In order to quantify view in a variable, there is a need to reflect the influence of the height of surrounding buildings, the surrounding topography, and the height and orientation...