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Can a wine be feminine? Gendered wine descriptors and quality, price, and aging potential

Published online by Cambridge University Press:  21 December 2023

Philippe Masset*
Affiliation:
EHL Hospitality Business School, HES-SO, University of Applied Sciences and Arts Western Switzerland, Lausanne, Switzerland
Lohyd Terrier
Affiliation:
EHL Hospitality Business School, HES-SO, University of Applied Sciences and Arts Western Switzerland, Lausanne, Switzerland
Florine Livat
Affiliation:
KEDGE Business School, Talence, France
*
Corresponding author: Philippe Masset, email: philippe.masset@ehl.ch
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Abstract

By analyzing more than 1,400 expert tasting notes, we assess the so-called gender profile of Bordeaux wines. We identify 329 gender-related wine descriptors, with a good balance between masculine and feminine descriptors. Some wines and vintages are described as more feminine than others, but no clear trend over time emerges. Our regression analysis further reveals that more feminine wines receive similar ratings and sell at similar prices as their more masculine counterparts, but they are perceived as having a much more limited aging potential.

Information

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of American Association of Wine Economists.
Figure 0

Table 1. Descriptive statistics

Figure 1

Figure 1. Percentage of feminine descriptors by vintage.

Figure 2

Table 2. Rating equation—estimation results

Figure 3

Table 3. Age equations—estimation results

Figure 4

Table 4. Price equation—estimation results