Solving for a Bias in the Standardized Expert Wine Score

Cardebat and Paroissien (2015) have provided a new methodology to express the scores of different wine expert on the same rating scale. Their method consists in matching the quantiles of the distributions of each experts’s scores in an exhaustive dataset. However, they use the raw empirical distribution functions, which is arguably downward biased. This leads to a frequent upward bias in the converted scores. This paper exhibits the existence of this bias, provides the sign of the latter, and suggests a simple interpolation to mitigate it. (JEL Classifications: Q13, L15, C14).


Keywords:
Issue Date:
2016-02
Publication Type:
Working or Discussion Paper
DOI and Other Identifiers:
ISSN 2166-9112 (Other)
PURL Identifier:
http://purl.umn.edu/231132
Page range:
1-24
JEL Codes:
Q13; L15; C14
Note:
Paper removed at the request of the author.
Series Statement:
AAWE Working Papers
191




 Record created 2017-04-01, last modified 2017-08-29


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