Pointwise Convergence of a Nonparametric Estimator of Regression in a Measurable Space Used in Contingent Valuation Method

作     者：Taibi-Hassani Salima Dimitri Laroutis S. L. Adigaw-E-Touck 

作者机构：Esitpa 3 Rue du Tronquet CS 40118 76134 Mont Saint Aignan France. Laboratoire de Mathematiques LMRS UMR 6085 CNRS-Universite de Rouen France. 

出 版 物：《Journal of Mathematics and System Science》 (数学和系统科学（英文版）)

年 卷 期：2015年第5卷第5期

页      面：188-195页

学科分类：02[经济学] 0202[经济学-应用经济学] 020208[经济学-统计学] 07[理学] 0714[理学-统计学（可授理学、经济学学位）] 070103[理学-概率论与数理统计] 0701[理学-数学] 

主　　题：Regression nonparametric estimation mixing process almost complete convergence contingent valuation method. 

摘      要：The Contingent Valuation Method is used to evaluate individual preferences for a change concerning a public non-market resource or property. The objective is to build a nonparametric forecasting model of an individual＇s Willingness To Pay according to geographical location. Within this framework, an estimator （of type Nadaraya-Watson） is proposed for the regression of the variable related to geolocation. The specific characteristics of the location variable lead us to a more general regression model than the traditional models. Results are established for convergence of our estimator.