Pointwise convergence of a nonparametric estimator of regression in a measurable space used in Contingent Valuation Method - Normandie Université
Article Dans Une Revue Journal of Mathematics and System Science Année : 2015

Pointwise convergence of a nonparametric estimator of regression in a measurable space used in Contingent Valuation Method

Résumé

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.
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Dates et versions

hal-04374652 , version 1 (05-01-2024)

Identifiants

  • HAL Id : hal-04374652 , version 1

Citer

Salima Taibi, Laroutis Dimitri, Adigaw-E-Touck S. L.. Pointwise convergence of a nonparametric estimator of regression in a measurable space used in Contingent Valuation Method. Journal of Mathematics and System Science, 2015, 5, pp.188-195. ⟨hal-04374652⟩
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