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Simple Computational Methods for Measuring the Difference of Empirical Distributions: Application to Internal and External Scope Tests in Contingent Valuation

Gregory Poe, Kelly L. Giraud and John Loomis

No 19664, 2002 Annual meeting, July 28-31, Long Beach, CA from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)

Abstract: This paper develops a statistically unbiased and simple method for measuring the difference of independent empirical distributions estimated by bootstrapping or other simulation approaches. This complete combinatorial method is compared with other unbiased and biased methods that have been suggested in the literature, first in Monte Carlo simulations and then in a field test of external and internal scope testing in contingent valuation. Tradeoffs between methods are discussed. When the empirical distributions are not independent a straightforward difference test is suggested.

Keywords: Research; Methods/; Statistical; Methods (search for similar items in EconPapers)
Pages: 31
Date: 2002
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Working Paper: Simple Computational Methods for Measuring the Difference of Empirical Distributions: Application to Internal and External Scope Tests in Contingent Valuation (2001) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea02:19664

DOI: 10.22004/ag.econ.19664

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