A Spatial Quantile Regression Hedonic Model of Agricultural Land Prices [PDF]
Land price studies typically employ hedonic analysis to identify the impact of land characteristics on price. Owing to the spatial fixity of land, however, the question of possible spatial dependence in agricultural land prices arises.
Basile R. +7 more
core +4 more sources
Spatial Interactions in Hedonic Pricing Models:The Urban Housing Market of Aveiro, Portugal [PDF]
Spatial heterogeneity, spatial dependence and spatial scale constitute key features of spatial analysis of housing markets. However, the common practice of modelling spatial dependence as being generated by spatial interactions through a known spatial ...
Bhattacharjee, Arnab +2 more
core +12 more sources
Hedonic Predicted House Price Indices Using Time-Varying Hedonic Models with Spatial Autocorrelation [PDF]
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
Alicia Rambaldi, Prasada Rao
core +1 more source
Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria [PDF]
Modelling spatial heterogeneity (SH) is a controversial subject in real estate economics. Single-family-home prices in Austria are explored to investigate the capability of global and locally weighted hedonic models. Even if regional indicators are not fully capable to model SH and technical amendments are required to account for unmodelled SH, the ...
Marco Helbich +3 more
openaire +5 more sources
SPATIAL HEDONIC MODELS OF AIRPORT NOISE, PROXIMITY, AND HOUSING PRICES* [PDF]
ABSTRACT Despite the refrain that housing prices are determined by “location, location, and location,” few studies of airport noise and housing prices have incorporated spatial econometric techniques. We compare various spatial econometric models and estimation methods in a hedonic price framework to examine the impact of noise on 2003 housing prices ...
Jeffrey P. Cohen, Cletus C. Coughlin
openaire +1 more source
A spatial semiparametric M-quantile regression for hedonic price modelling
AbstractThis paper proposes an M-quantile regression approach to address the heterogeneity of the housing market in a modern European city. We show how M-quantile modelling is a rich and flexible tool for empirical market price data analysis, allowing us to obtain a robust estimation of the hedonic price function whilst accounting for different sources
Schirripa Spagnolo, Francesco +4 more
openaire +3 more sources
Correctly Specifying Environmental Assets in Spatial Hedonic Pricing Models [PDF]
In hedonic pricing models, researchers attempt to capture the marginal benefits of environmental assets using various classifications to differentiate them, such as natural parks versus playground parks. This improves the accuracy of the estimation, but the trade-off is the increased time and cost of data acquisition.
Tapsuwan, Sorada, Polyakov, Maksym
openaire +2 more sources
A Priori Spatial Segmentation of Commercial Property Market using Hedonic Price Modelling [PDF]
Abstract The improvement of property price modelling accuracy using property market segmentation approaches is well documented in the housing market. However, that cannot be said of the commercial property market which is adjudged to be volatile, heterogeneous and thinly traded.
Usman, Hamza +2 more
openaire +3 more sources
An Alternative to the Standard Spatial Econometric Approaches in Hedonic House Price Models [PDF]
Omitted, misspecified, or mismeasured spatially varying characteristics are a cause for concern in hedonic house price models. Spatial econometrics or spatial fixed effects have become popular ways of addressing these concerns. We discuss the limitations of standard spatial approaches to hedonic modeling and demonstrate the spatial generalized additive
von Graevenitz, Kathrine +1 more
openaire +3 more sources
Geographical and temporal weighted regression (GTWR) [PDF]
Both space and time are fundamental in human activities as well as in various physical processes. Spatiotemporal analysis and modeling has long been a major concern of geographical information science (GIScience), environmental science, hydrology ...
Andrienko +39 more
core +1 more source

