Results 11 to 20 of about 11,147 (188)
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
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This article examines the spatially varying effect of age on single-family house (SFH) prices. Age has been shown to be a key driver for house depreciation and is usually associated with a negative price effect.
Jakob A. Dambon +6 more
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Calf and yearling prices in California and the western United States
This paper investigates spatial, quality and temporal factors impacting the pricing of calves and yearlings in the western United States using data from a satellite video auction and a hedonic regression framework.
T Tate, L Forero, G Nader, L Forero
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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
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Investment in public transportation such as a metro line extension is often capitalized partially into housing values due to the spatiotemporal effects.
ChengHe Guan +2 more
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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
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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
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A gamma generalised linear model as an alternative to log linear real estate price functions
Orientation: Residential property markets play an important role in economies, informing policy development and decision-making. However, measuring quality-adjusted growth is difficult because of the heterogeneity of properties.
Dane Bax, Temesgen Zewotir, Delia North
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The main purpose of this paper is to use regression models to explore the factors affecting housing prices as well as apply spatial aggregation to explore the changes of urban space prices.
Wen-Ching Wang +2 more
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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
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