Abstract
The price of a house is affected by the value of the view it commands and the environment it occupies. Statistical analysis can be used to attribute a price premium to the components of the view. There are problems in identifying the relevant components, determining the form of the relationship, and representing the interaction between components. Hence the emerging quantitative information may be less than exact. Derived values may also reflect neighbourhood and regional development factors.
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Price, C. (2017). The Statistical Basis of Valuation: The Hedonic House Price Model. In: Landscape Economics. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-54873-9_12
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DOI: https://doi.org/10.1007/978-3-319-54873-9_12
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