Add to ORKGThis paper primarily focuses on predicting housing price gradients in a Norwegian region with one dominating center. Spatial separation is represented by a function of the traveling distance from the city center in a traditional hedonic regression equation. Several functions are tested, and some alternatives provide a satisfying goodness-of-fit, consistent coefficient estimates, and intuitively reasonable predictions of housing price gradients. Still, not all commonly used functions are recommended. The findings also indicate that the strength of spatial autocorrelation is reduced when the hedonic function is properly specified
Location is capitalized into the price of the land the structure of a property is built on, and land...
Hedonic regression and repeat sales are commonly used methods in real estate analysis. While the mer...
Summary. A hedonic equation considers OLS models with independently and identically distributed erro...
This paper primarily focuses on predicting housing price gradients in a Norwegian region with one do...
We primarily focus on explaining housing prices and predicting housing price gradients in a Norwegia...
Purpose - This study aims to examine the impact of relative importance of local characteristics, dis...
Summary. The effect of distance from the city centre on selling price, tax assessment and gross inco...
The aim of this paper is to investigate whether it is possible to use parameter estimates from a hed...
Modelling spatial heterogeneity (SH) is a controversial subject in real estate economics. Single-fam...
This paper reviews the empirical studies that have been conducted on property price gradients. There...
In this article we suppose that the integration of accessibility and neighborhood variables in hedon...
Location is capitalized into the price of the land the structure of a property is built on, and land...
Modelling spatial heterogeneity (SH) is a controversial subject in real estate economics. Single-fam...
Modelling spatial heterogeneity (SH) is a controversial subject in real estate economics. Single-fam...
Modelling spatial heterogeneity (SH) is a controversial subject in real estate economics. Single-fam...
Location is capitalized into the price of the land the structure of a property is built on, and land...
Hedonic regression and repeat sales are commonly used methods in real estate analysis. While the mer...
Summary. A hedonic equation considers OLS models with independently and identically distributed erro...
This paper primarily focuses on predicting housing price gradients in a Norwegian region with one do...
We primarily focus on explaining housing prices and predicting housing price gradients in a Norwegia...
Purpose - This study aims to examine the impact of relative importance of local characteristics, dis...
Summary. The effect of distance from the city centre on selling price, tax assessment and gross inco...
The aim of this paper is to investigate whether it is possible to use parameter estimates from a hed...
Modelling spatial heterogeneity (SH) is a controversial subject in real estate economics. Single-fam...
This paper reviews the empirical studies that have been conducted on property price gradients. There...
In this article we suppose that the integration of accessibility and neighborhood variables in hedon...
Location is capitalized into the price of the land the structure of a property is built on, and land...
Modelling spatial heterogeneity (SH) is a controversial subject in real estate economics. Single-fam...
Modelling spatial heterogeneity (SH) is a controversial subject in real estate economics. Single-fam...
Modelling spatial heterogeneity (SH) is a controversial subject in real estate economics. Single-fam...
Location is capitalized into the price of the land the structure of a property is built on, and land...
Hedonic regression and repeat sales are commonly used methods in real estate analysis. While the mer...
Summary. A hedonic equation considers OLS models with independently and identically distributed erro...