Real estate valuation with multi-source image fusion and enhanced machine learning pipeline. [PDF]
PLoS OneDeng L.
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A data-driven performance index for center forwards in the English Premier League. [PDF]
Sci RepPrieto-González P +6 more
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Spatial econometrics and the hedonic pricing model: what about the temporal dimension?
Journal of Property Research, 2014Recent ready access to free software and toolbox applications is directly impacting spatial econometric modelling when working with geolocated data. Spatial econometric models are valuable tools for taking into account the possible latent structure of the price determination process and ensuring that the coefficients estimated are unbiased and ...
Jean Dube, Diego Legros
exaly +3 more sources
Area-to-point Kriging in spatial hedonic pricing models
Journal of Geographical Systems, 2009This paper proposes a geostatistical hedonic price model in which the effects of location on house values are explicitly modeled. The proposed geostatistical approach, namely area-to-point Kriging with External Drift (A2PKED), can take into account spatial dependence and spatial heteroskedasticity, if they exist.
Phaedon Kyriakidis
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Theoretically consistent temporal ordering specification in spatial hedonic pricing models applied to the valuation of aircraft noise [PDF]
Journal of Environmental Economics and Policy, 2012 Incorporating spatial econometric tools in Hedonic Pricing (HP) models for environmental valuation has become the standard approach in the literature. The effect of house prices on other house prices is taken into account and usually measured by distance
Abigaïl Bristow, Sotirios Thanos
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An Application of Spatial Econometrics in Relation to Hedonic House Price Modeling [PDF]
Journal 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.
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Spatial Competition and Farm Tourism - A Hedonic Pricing Model
2008Changes in EU agricultural policies towards additional focus on rural development issues raise questions regarding the economic impact of local/spatial competition. Traditionally, farmers have typically been price takers in markets for major agricultural products. This is, however, not necessarily true in the case of local markets for “new enterprises”.
Andersson, Hans +3 more
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A Spatial Bayesian Hedonic Pricing Model of Farmland Values
2008In 1973, British Columbia created the Agricultural Land Reserve (ALR) to protect farmland from development. This study investigates whether the ALR has been effective near the city of Victoria. Therefore, we employ a GIS-based hedonic pricing model and quantify ALR specific measures. Bayesian Model Averaging in combination with Markov Chain Monte Carlo
Cotteleer, Geerte +2 more
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Interpolation of Air Quality Measures in Hedonic House Price Models: Spatial Aspects
Spatial Economic Analysis, 2006Abstract 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, 2017House 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
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