Statistics – Applications
Scientific paper
2011-02-10
Statistics
Applications
19 pages, 6 Figures
Scientific paper
The valuation of real estates (e.g., house, land, among others) is of extreme importance for decision making. Their singular characteristics make valuation through hedonic pricing methods dificult since the theory does not specify the correct regression functional form nor which explanatory variables should be included in the hedonic equation. In this article we perform real estate appraisal using a class of regression models proposed by Rigby & Stasinopoulos (2005): generalized additive models for location, scale and shape (GAMLSS). Our empirical analysis shows that these models seem to be more appropriate for estimation of the hedonic prices function than the regression models currently used to that end.
Cribari-Neto Francisco
Florencio Lutemberg
Ospina Raydonal
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