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Interpolation of Air Quality Measures in Hedonic House Price Models: Spatial Aspects

Spatial Economic Analysis, 2006
Abstract This paper investigates the sensitivity of hedonic models of house prices to the spatial interpolation of measures of air quality. We consider three aspects of this question: the interpolation technique used, the inclusion of air quality as a continuous vs discrete variable in the model, and the estimation method.
Anselin, Luc, Le Gallo, Julie
openaire   +3 more sources

Housing price prediction: parametric versus semi-parametric spatial hedonic models

Journal of Geographical Systems, 2017
House price prediction is a hot topic in the economic literature. House price prediction has traditionally been approached using a-spatial linear (or intrinsically linear) hedonic models. It has been shown, however, that spatial effects are inherent in house pricing.
José-María Montero   +2 more
openaire   +1 more source

An Application of Spatial Econometrics in Relation to Hedonic House Price Modeling [PDF]

open access: possibleJournal of Real Estate Research, 2010
This paper applies spatial econometrics in relation to hedonic house price modeling. Some basic spatial model alternatives are used for a battery of relevant tests.
openaire   +1 more source

Spatial Hedonic Modeling of Housing Prices Using Auxiliary Maps

2017
The latest applications of hedonic dwelling price models have included recent advances in spatial analysis that control for spatial dependence and heterogeneity. The study of spatial aspects of hedonic modelling pertains to spatial econometrics, which is relevant to this study because it clearly accounts for the influence and peculiarities related by ...
Bajat, Branislav   +3 more
openaire   +2 more sources

Estimating the Effect of Air Quality: Spatial versus Traditional Hedonic Price Models

Southern Economic Journal, 2007
Empirical studies of hedonic housing prices show that the spatial maximum likelihood estimation (MLE) method is preferable to the traditional ordinary least squares (OLS) hedonic method. Current computing capabilities restrict the MLE method to relatively small data sets.
Neill, Helen R.   +2 more
openaire   +2 more sources

A non–stationary non–Gaussian hedonic spatial model for house selling prices

Communications in Statistics - Simulation and Computation, 2019
This work proposes a hedonic random field model to describe house selling prices from 2000 to 2005 in Cedar Falls, Iowa.
Victor De Oliveira, Mark D. Ecker
openaire   +1 more source

SPATIAL MULTIPLIERS IN HEDONIC ANALYSIS: A COMMENT ON “SPATIAL HEDONIC MODELS OF AIRPORT NOISE, PROXIMITY, AND HOUSING PRICES”*

Journal of Regional Science, 2010
This note draws upon the spatial-hedonic analysis of Cohen and Coughlin to clarify the role of spatial multipliers in regression specification and benefits measurement, and to demonstrate the appropriate calculation of these benefits from dummy-variable coefficients in semi-logarithmic spatial-lag models.
openaire   +1 more source

Discovering the Urban Structure Using a Spatial Hedonic House Price Model

ICCREM 2013, 2013
This paper employs a spatial hedonic house price model that is capable of incorporating temporal dynamics within the model specification in addition to the location, the neighborhood and structural variations of house prices within the Ede municipality in the Netherlands.
openaire   +1 more source

A spatial hedonic model application of variance function regression to residential property prices in Beijing

Letters in Spatial and Resource Sciences, 2015
Variance function regression incorporates a novel method of residual analysis that should be of interest in spatial modeling. The method is a two part regression: one for the conditional mean, which is a standard regression, and one for the conditional variance, which is estimated from the residuals of the initial regression.
Yue Zhang   +2 more
openaire   +1 more source

Analysis of spatial variance clustering in the hedonic modeling of housing prices

Journal of Property Research, 2019
This paper examines the spatial dependency exhibited by the error term variance of hedonic modeling based on German housing price data.
openaire   +1 more source

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