An Alternative to the Standard Spatial Econometric Approaches in Hedonic House Price Models
نویسندگان
چکیده
منابع مشابه
Draft (Do not quote) Spatial Econometric Approaches to Estimating Hedonic Property Value Models
The inclusion of spatial correlation of house price in hedonic pricing model may produce better marginal implicit price estimate(s) of the environmental variable(s) of interest. Most applications where a spatial econometric model is applied to the estimation of a hedonic property value model have used either a spatial lag model or a spatial autoregressive (SAR) error model. Incorrect spatial sp...
متن کاملInterpolation of Air Quality Measures in Hedonic House Price Models: Spatial Aspects
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. Using a sample of 115,732 individual house sales for 1999 in the South Coast Air ...
متن کاملTechnical Paper: Hedonic House Price Models for Small Geographical Areas
This technical paper lays out the methodology used to develop a hedonic price model to measure price trends around The 606, a newly established linear park system on the northwest side of Chicago. Two pricing models were required to understand how the housing market responded to the development of the trail. First, in order to analyze the project’s impact by time and geographical area, the Inst...
متن کاملBoosting the predictive accuracy of urban hedonic house price models through airborne laser scanning
Keywords: Real estate Airborne laser scanning LiDAR GIS Solar radiation Hedonic regression Generalized additive model Vienna (Austria) a b s t r a c t This paper introduces an integrative approach to hedonic house price modeling which utilizes high density 3D airborne laser scanning (ALS) data. In general, it is shown that extracting exploratory variables using 3D analysis – thus explicitly con...
متن کاملSpatial Latent Gaussian Models: Application to House Prices Data in Tehran City
Latent Gaussian models are flexible models that are applied in several statistical applications. When posterior marginals or full conditional distributions in hierarchical Bayesian inference from these models are not available in closed form, Markov chain Monte Carlo methods are implemented. The component dependence of the latent field usually causes increase in computational time and divergenc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Land Economics
سال: 2015
ISSN: 0023-7639,1543-8325
DOI: 10.3368/le.91.2.386