... possible intrinsic characteristics in a hedonic model, while measuring the impact of location on housing values. This study uses unique data on housing values and characteristics harvested from classified adverts. This study deliberately focused on data between 2013 and 2016, when Uzbekistan...

... to absorb negative externalities from social housing and continue to exhibit house price growth. Social housing Housing affordability Social housing concentration Hedonic model New Zealand Sociotemporal Concentration of social housing New Zealand has joined a growing number of countries...

... one is more related than a distant one. In the following, the relationships between the variables (features of an apartment) and apartment price are illustrated. In the following, the identification of the parameters discussed. Housing Inflation Hedonic model Compound variables GWR-OLS...

... variables cause omitted variable bias. Findings The analysis shows that housing features significantly influence housing rent. If significant housing feature variables are not included in the hedonic model, the estimated coefficients show omitted variable bias. Additionally, unit-specific features...

... it comes to testing based on actual data. Given this, we believe that our verification of nonlinear estimation’s validity using multiple nonlinear models is significant not just from an academic perspective – it may also have practical applications. Housing Nonlinearity Hedonic model Automated...

...Marko Kryvobokov Purpose The purpose of the paper is to verify whether the version of neighbourhoods created from the lowest geographical level improve a predictive accuracy of hedonic model in comparison with those based on upper geographical levels. Design/methodology/approach The paper...