Estimating Willingness-to-Pay with Random Valuation Models: An Application to Lake Sevan, Armenia

This paper presents a case study of willingness-to-pay (WTP) estimation using random valuation models. A contingent valuation survey was conducted in Yerevan, Armenia to estimate people's WTP for the protection of Lake Sevan. Three elicitation...

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Bibliographic Details
Main Authors: Wang, Hua, Laplante, Benoit, Wu, Xun, Meisner, Craig
Format: Policy Research Working Paper
Language:English
en_US
Published: World Bank, Washington, D.C. 2013
Subjects:
Online Access:http://documents.worldbank.org/curated/en/2004/08/5066130/estimating-willingness-to-pay-random-valuation-models-application-lake-sevan-armenia
http://hdl.handle.net/10986/14158
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Summary:This paper presents a case study of willingness-to-pay (WTP) estimation using random valuation models. A contingent valuation survey was conducted in Yerevan, Armenia to estimate people's WTP for the protection of Lake Sevan. Three elicitation formats-open-ended, closed-ended, and the stochastic payment card (SPC) approach-were used with split random samples. WTP models with heterogeneous errors were constructed and estimated with the survey data. The SPC approach produces a higher estimation of the mean WTP than both the open-ended and closed-ended approaches, while results from the open-ended and closed-ended elicitation formats are similar. Furthermore, contrary to research findings obtained in the United States, this study finds higher WTP estimations with mail surveys than with personal interviews.