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Home
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Working Papers
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A Maximum Entropy Estimate of Uncertainty about a Wine Rating

Working Paper No. 269

Published: 2021
Category:
Economics

A Maximum Entropy Estimate of Uncertainty about a Wine Rating

Jeff Bodington
Full Text PDF
Abstract
Much research shows that the ratings that judges assign to wines are uncertain and an acute difficulty in ratings-related research, and in calculating consensus among judges, is that each rating is one observation drawn from a unique and latent distribution that is wine- and judge-specific. A simple maximum entropy estimator is proposed that yields a maximum-entropy probability distribution for sample sizes of none, one, and more. A test of that estimator yields results that are consistent with the results of experiments in which blind replicates are embedded within flights of wines evaluated by trained and tested judges.

JEL Classifications: A10, C10, C00, C12, D12
Keywords: wine, judge, ratings, statistics, random

Submission

Please send your papers as PDF files to the editor, Victor Ginsburgh, at vginsbur@ulb.ac.be
Papers will be quickly reviewed, prior to potential posting on the website. Decision will be to post or not, possibly with short comments, but without referee reports. The decision will be based primarily on the suitability of the paper’s topic to the aims of the Association.
Such decisions are independent of publication decisions for the Journal of Wine Economics.

Working Paper publication requires that at least one author
is a regular member of AAWE.

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