JSM 2004 - Toronto

Abstract #301805

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Activity Number: 20
Type: Contributed
Date/Time: Sunday, August 8, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract - #301805
Title: The Power Prior as a Tool for Improving the Benefit Transfer in Environmental Valuation
Author(s): Ulrike G. Lehr*+
Companies: University of Hohenheim
Address: Institut fuer VWL, Stuttgart, International, 70593, Germany
Keywords: contingent valuation method ; Bayesian analysis ; power prior ; benefit transfer ; environmental economics ; reclamation
Abstract:

The contingent valuation method (CVM) is a popular method in environmental economics to elicit people's willingness to pay for a positive change in environmental quality or the prevention of a negative change. However, the most incentive compatible elicitation method yields right- and left-censored survival-type data and requires large samples and expensive surveys to obtain valid results. Therefore, the benefit transfer approach has been suggested, which assigns results from past studies to a new policy site. Unfortunately, most of the suggested methods in the past failed. Recently, environmental economists started to look into using Bayesian methods as a tool for the benefit transfer. This paper uses the power prior for the first time on CVM data to incorporate historical data. Hence, it combines the results of previously done studies with the results of a small on site study. A full-scale CVM study on the reclamation of open pit coal mining areas in East Germany is used as reference data and several datasets are used to construct the power prior. It can be shown that the Bayesian benefit transfer succeeds in reducing survey costs by large and facilitates cost-benefit analysis.


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