... are significant determinants of private rental housing affordability. The spatial autocorrelation analysis revealed that there is a cluster (i.e. a grouping of locations with similarly high or low attribute values) of house rent, housing typology, number of families, road type and house area. Research...

... in the following configurations: without the two effects, with proximity factors only, and with both effects, i.e. proximity and spatial dependence. Findings The inclusion of proximity factors and spatial dependence – spatial autocorrelation – seems to improve the hedonic price model but does not significantly...

... collected during 2018–2019. The authors test for spatial autocorrelation by using the Global Moran’s I and Lagrange Multiplier diagnostics and deploy different spatial regression models including SAR, SEM and SDM. Findings The authors find that there is a premium on the prices of townhouses near...

... specifically land-use and housing market analysis. A core stand of this literature has tended to examine the comparative performance of spatial filtering approaches with other locally weighted regression or spatial expansion methodologies and its effectiveness for analysing spatial autocorrelation within...

...Jean Dubé; Marius Thériault; François Des Rosiers Purpose Spatial autocorrelation in regression residuals is a major issue for the modeller because it disturbs parameter estimates and invalidates the reliability of conclusions drawn from models. The purpose of this paper is to develop an approach...