A Note on Obtaining Welfare Bounds in Referendum Contingent Valuation Studies

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dc.contributor.author Vaughan, William J. en
dc.contributor.author Rodríguez, Diego J. en
dc.description.abstract In this note, the authors detail the mechanics of the nonparametric mean and variance calculations of finding willingness to pay (WTP) estimates. There are (at least) three nonparametric estimators of mean WTP that can be obtained from referendum CV survey data. The logic behind all three nonparametric estimators is the same. en
dc.subject Economics en
dc.title A Note on Obtaining Welfare Bounds in Referendum Contingent Valuation Studies en
dc.contributor.other LUCIANOO
dc.date.accessioned 2011-08-01T15:59:27Z
dc.date.available 2011-08-01T15:59:27Z
dc.date.issued 2000-03
dc.identifier.uri http://www.iadb.org/en/publications/publication-detail,7101.html?id=18817
dc.format.extent 14
dc.format.medium ACROBAT
dc.language.iso en
dc.subject Environmental Law and Economics
dc.subject Environment
dc.type Technical Notes
lacea.language.supported en
dc.date.modified 2016-08-31T16:26:35Z
dc.description.abstract2 This paper generalizes the Boman et al. (1999) formulas for computing nonparametric means from referendum data, allowing the user to calculate an upper bound, a lower bound, or any measure in between through the choice of a weighting factor. The corresponding formulas for the variance of the mean are derived, illustrated, and verified using Monte Carlo analysis. The results suggest that the formulas for the variance of the mean provided in Boman et al. (1999) are incorrect. About the Authors: William J. Vaughan is a Senior Economist and Diego J. Rodriguez is an Economist in the Environment Division of the Sustainable Development Department of the Inter-American Development Bank.

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