Title :
Regression Trees and Contingent Valuation
Author :
Scaringella, Angela
Author_Institution :
Univ. di Roma "Sapienza", Rome
Abstract :
We discuss the use of regression trees in the contingent valuation problem. A method is proposed for valuation that exploits surrogate variables. The method is applied to Boston housing data to assess the dependence of house values on a variable related to air pollution.
Keywords :
air pollution; environmental science computing; regression analysis; Boston housing data; air pollution; contingent valuation problem; house values; regression trees; Air pollution; Classification tree analysis; Cost accounting; Data mining; Economic forecasting; Equations; Linear regression; Nitrogen; Performance analysis; Regression tree analysis;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.466
