Bayesian Spatial Modeling of Housing Prices Subject to a Localized Externality

DOI10.1080/03610920701858404zbMath1143.62340OpenAlexW2098226414MaRDI QIDQ3526063

Victor De Oliveira, Mark D. Ecker

Publication date: 24 September 2008

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920701858404

zbMATH Keywords

Monte Carlorandom fieldgeostatisticshedonic regressionreal estate data

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Random fields; image analysis (62M40) Bayesian inference (62F15) Microeconomic theory (price theory and economic markets) (91B24) Applications of statistics (62P99) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (3)

A directionally varying change points model for quantifying the impact of a point source ⋮ A nonstationary spatial covariance model for processes driven by point sources ⋮ A non–stationary non–Gaussian hedonic spatial model for house selling prices

Uses Software

• Spatial Statistics

Cites Work

• Unnamed Item
• A model for estimating point sources in spatial data
• Parametric covariance models for shock-induced stochastic processes
• Parametric nonstationary correlation models
• Measuring the benefits of air quality improvement: A spatial hedonic approach.
• Variograms with zonal anisotropies and noninvertible kriging systems

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