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. Recently, it has been applied to analyze the consumers' preference for emerging IT services, i.e., Wireless Broadband (WiBro -Portable Internet Service), Digital Multimedia Broadcasting (DMB), Voice of IP. 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 first one is parametric approach. In this approach, we assume WTP or logarithm of WTP can be decomposed as deterministic part (linear form) and random part as a error distribution. If the model assumption is correct, parametric approach is very efficient to apply. But the adequacy of model assumption has to be justified.The second approach is fully nonparametric one. The most popular model is Turnbull's estimator and kernel method. As many researched noted, this approach can give lower bound of mean WTP.The final approach is semi-nonparametric (SNP) approach. The core of SNP is to relax the assumption of a certain error distribution in parametric models. In SNP, we perform flexible functional approximations to the unknown distribution of preferences. SNP is somewhat complicated and use many smoothing technique. For reviews, see Crooker and Herriges (2004).In this paper, we apply a semi-parametric estimation procedure for binary discrete response data. This estimator is based on the statistical modeling of so-called current status data in biostatistics. This approach decomposes WTP distribution as the product of the baseline distribution function of WTP and effect of covariate (additive hazard regression). In this field, we know that Cox's proportional hazard assumption is widely used one. However, In certain situation, this approach can give more reasonable results. We give empirical study using a contingent valuation survey of willingness to pay for next generation converged communications and broadcasting services, which is analyzed once by Kang, Cho and Lie (2005).
KSP Keywords
Contingent valuation, Current status, Dichotomous choice, Digital multimedia broadcasting, Empirical study, Estimation Technique, Hazard regression, IT Services, Internet service, Lower bound, Marketing Strategy
Copyright Policy
ETRI KSP Copyright Policy
The materials provided on this website are subject to copyrights owned by ETRI and protected by the Copyright Act. Any reproduction, modification, or distribution, in whole or in part, requires the prior explicit approval of ETRI. However, under Article 24.2 of the Copyright Act, the materials may be freely used provided the user complies with the following terms:
The materials to be used must have attached a Korea Open Government License (KOGL) Type 4 symbol, which is similar to CC-BY-NC-ND (Creative Commons Attribution Non-Commercial No Derivatives License). Users are free to use the materials only for non-commercial purposes, provided that original works are properly cited and that no alterations, modifications, or changes to such works is made. This website may contain materials for which ETRI does not hold full copyright or for which ETRI shares copyright in conjunction with other third parties. Without explicit permission, any use of such materials without KOGL indication is strictly prohibited and will constitute an infringement of the copyright of ETRI or of the relevant copyright holders.
J. Kim et. al, "Trends in Lightweight Kernel for Many core Based High-Performance Computing", Electronics and Telecommunications Trends. Vol. 32, No. 4, 2017, KOGL Type 4: Source Indication + Commercial Use Prohibition + Change Prohibition
J. Sim et.al, “the Fourth Industrial Revolution and ICT – IDX Strategy for leading the Fourth Industrial Revolution”, ETRI Insight, 2017, KOGL Type 4: Source Indication + Commercial Use Prohibition + Change Prohibition
If you have any questions or concerns about these terms of use, or if you would like to request permission to use any material on this website, please feel free to contact us
KOGL Type 4:(Source Indication + Commercial Use Prohibition+Change Prohibition)
Contact ETRI, Research Information Service Section
Privacy Policy
ETRI KSP Privacy Policy
ETRI does not collect personal information from external users who access our Knowledge Sharing Platform (KSP). Unathorized automated collection of researcher information from our platform without ETRI's consent is strictly prohibited.
[Researcher Information Disclosure] ETRI publicly shares specific researcher information related to research outcomes, including the researcher's name, department, work email, and work phone number.
※ ETRI does not share employee photographs with external users without the explicit consent of the researcher. If a researcher provides consent, their photograph may be displayed on the KSP.