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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 ...
Dubé, Jean, Legros, Diego
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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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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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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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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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International Journal of Hospitality Management, 2019
Abstract Peer-to-peer (P2P) accommodations have scaled up in the wave of enthusiasm for innovative internet technologies, which challenge the conventional hotel industry. Pricing is a significant lever a P2P lodging host needs to improve profitability.
Liang (Rebecca) Tang +2 more
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Abstract Peer-to-peer (P2P) accommodations have scaled up in the wave of enthusiasm for innovative internet technologies, which challenge the conventional hotel industry. Pricing is a significant lever a P2P lodging host needs to improve profitability.
Liang (Rebecca) Tang +2 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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Public Works Management & Policy, 2018
Transportation agencies invest billions of dollars every year in resurfacing roadways, ostensibly to improve the travel experience. When locally funded, one justification for increased expenditure on the pavement surface is that it could increase property values.
Kihwan Seo +3 more
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Transportation agencies invest billions of dollars every year in resurfacing roadways, ostensibly to improve the travel experience. When locally funded, one justification for increased expenditure on the pavement surface is that it could increase property values.
Kihwan Seo +3 more
openaire +1 more source