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A non–stationary non–Gaussian hedonic spatial model for house selling prices
Communications in Statistics - Simulation and Computation, 2019This 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
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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.
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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.
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Spatial Hedonic Modeling of Housing Prices Using Auxiliary Maps
2017The 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
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Analysis of spatial variance clustering in the hedonic modeling of housing prices
Journal of Property Research, 2019This paper examines the spatial dependency exhibited by the error term variance of hedonic modeling based on German housing price data.
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Estimating the Effect of Air Quality: Spatial versus Traditional Hedonic Price Models
Southern Economic Journal, 2007Empirical 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
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Discovering the Urban Structure Using a Spatial Hedonic House Price Model
ICCREM 2013, 2013This 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.
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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
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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
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2007
Since 1973, British Columbia created an Agricultural Land Reserve to protect farmland from development. In this study, we employ GIS-based hedonic pricing models of farmland values to examine factors that affect farmland prices. We take spatial lag and error dependence into explicit account. However, the use of spatial econometric techniques in hedonic
Cotteleer, Geerte +5 more
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Since 1973, British Columbia created an Agricultural Land Reserve to protect farmland from development. In this study, we employ GIS-based hedonic pricing models of farmland values to examine factors that affect farmland prices. We take spatial lag and error dependence into explicit account. However, the use of spatial econometric techniques in hedonic
Cotteleer, Geerte +5 more
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Hedonic Predicted House Price Indices Using Time-Varying Hedonic Models with Spatial Autocorrelation [PDF]
, 2011 Hedonic housing price indices are computed from estimated hedonic pricing models. The commonly used time dummy hedonic model and the rolling window hedonic model fail to account for changing consumer preferences over hedonic characteristics and typically these models do not account for the presence of spatial correlation in prices reflecting the role ...
Rambaldi, Alicia N., Rao, D. S. Prasada
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Errors in variables and spatial effects in hedonic house price models of ambient air quality
Empirical Economics, 2007In the valuation of the effect of improved air quality through the estimation of hedonic models of house prices, the potential “errors in variables” aspect of the interpolated air pollution measures is often ignored. In this paper, we assess the extent to which this may affect the resulting empirical estimates for marginal willingness to pay (MWTP ...
Luc Anselin, Nancy Lozano-Gracia
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