Cart (Loading....) | Create Account
Close category search window
 

Estimation of Willingness to Pay Using Dichotomous Choice Data under Proportional Hazard Approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Choon-Mo Ahn ; ETRI, Daejeon

Parametric and semi-nonparametric estimation techniques for the dichotomous choice contingent valuation model are receiving considerable interest. These methodologies originally have been developed to find the "willingness to pay (WTP)" or implicit valuation of non-market goods. The form of WTP distribution can be used to set up tariff of new service. Furthermore, it can be used for marketing strategy if we know the relations between WTP and covariate - salary, expenditure for telecommunication services, age, etc. The methodologies for finding WTP distribution can be classified three categories. The most popular approach is parametric approach. The second approach is fully nonparametric one. The most popular model is Turnbull's estimator and kernel method. The final approach is semi-nonparametric (SNP) approach which is the most preferable in some sense that take both advantage of parametric and nonparametric approach. In this paper, we apply a semi-parametric estimation procedure called proportional hazard regression model for binary discrete response data. We perform a series of simulation result under various model assumptions. We also give empirical studies of real situation for finding consumer's valuation of prescribed services.

Published in:

Management of Engineering and Technology, Portland International Center for

Date of Conference:

5-9 Aug. 2007

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.