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Estimating the Benefits to Florida Households from Avoiding Another Gulf Oil Spill Using the Contingent Valuation Method: Internal Validity Tests with Probability-based and Opt-in Samples

John Whitehead (), Andrew Ropicki, John Loomis, Sherry Larkin, Tim Haab and Sergio Alvarez

No 21-13, Working Papers from Department of Economics, Appalachian State University

Abstract: This paper evaluates the importance of contingent valuation method data quality by examining differences in results between probability-based and opt-in internet samples. Our data is from a survey estimating passive use losses associated with the BP/Deepwater Horizon oil spill to Florida residents. Several internal tests of validity are conducted. We find that the willingness to pay estimates from the opt-in sample may be biased upwards and only the probability-based sample data pass the scope test. In general, we conclude that the probability-based sample data is of higher quality. Key Words: contingent valuation, scope test, probability-based sample data; opt-in sample data

JEL-codes: Q51 (search for similar items in EconPapers)
Date: 2021
New Economics Papers: this item is included in nep-ara, nep-dcm, nep-ene and nep-env
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