DocumentCode
468160
Title
Regression Trees and Contingent Valuation
Author
Scaringella, Angela
Author_Institution
Univ. di Roma "Sapienza", Rome
Volume
1
fYear
2007
fDate
24-27 Aug. 2007
Firstpage
517
Lastpage
520
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2874-8
Type
conf
DOI
10.1109/FSKD.2007.466
Filename
4405979
Link To Document