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Does quality pay off? “Superstar” wines and the uncertain price premium across quality grades

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  • Castriota, Stefano
  • Corsi, Stefano
  • Frumento, Paolo Dyno
  • Ruggeri, Giordano

Abstract

We use data from Wine Spectator on 266,301 bottles from 12 countries sold in the United States to investigate the link between the score awarded by the guide and the price charged. In line with the literature, the link between quality and price is positive. In a deeper inspection, however, hedonic regressions show that the price premium attached to higher quality is significant only for “superstar” wines with more than 90 points (in a 50-100 scale), while prices of wines between 50 and 90 points are not statistically different from each other. Furthermore, an analysis performed through normal heteroskedastic and quantile regression models shows that the dispersion of quality-adjusted prices is described by an asymmetric U-shaped function of the score; that is, products with the lowest and highest quality have the highest residual standard deviation. Pursuing excellence is a risky strategy: the average price is significantly higher only for wines that achieve top scores, and the price premium becomes more volatile.

Suggested Citation

  • Castriota, Stefano & Corsi, Stefano & Frumento, Paolo Dyno & Ruggeri, Giordano, 2021. "Does quality pay off? “Superstar” wines and the uncertain price premium across quality grades," Working Papers 321846, American Association of Wine Economists.
  • Handle: RePEc:ags:aawewp:321846
    DOI: 10.22004/ag.econ.321846
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    References listed on IDEAS

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    1. Charles-Olivier Amédée-Manesme & Benoit Faye & Eric Le Fur, 2020. "Heterogeneity and fine wine prices: application of the quantile regression approach," Applied Economics, Taylor & Francis Journals, vol. 52(26), pages 2821-2840, May.
    2. Ali, Héla Hadj & Lecocq, Sébastien & Visser, Michael, 2010. "The Impact of Gurus: Parker Grades and en primeur Wine Prices," Journal of Wine Economics, Cambridge University Press, vol. 5(1), pages 22-39, April.
    3. Gibbs, Michael & Tapia, Mikel & Warzynski, Frederic, 2009. "Globalization, Superstars, and the Importance of Reputation: Theory & Evidence from the Wine Industry," Working Papers 09-3, University of Aarhus, Aarhus School of Business, Department of Economics.
    4. Jean Marie Cardebat, 2017. "Economie du vin," Post-Print hal-03777239, HAL.
    5. Véronique Chossat & Olivier Gergaud, 2003. "Expert Opinion and Gastronomy: The Recipe for Success," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 27(2), pages 127-141, May.
    6. Jean-Marie Cardebat & Paola Corsinovi & Davide Gaeta, 2018. "Do Top 100 wine lists provide consumers with better information?," Economics Bulletin, AccessEcon, vol. 38(2), pages 983-994.
    7. Cardebat, Jean-Marie & Faye, Benoît & Le Fur, Eric & Storchmann, Karl, 2017. "The Law of One Price? Price Dispersion on the Auction Market for Fine Wine," Journal of Wine Economics, Cambridge University Press, vol. 12(3), pages 302-331, August.
    8. Gibbs, Michael & Tapia, Mikel & Warzynski, Frederic, 2009. "Globalization, Superstars, and Reputation: Theory & Evidence from the Wine Industry," Journal of Wine Economics, Cambridge University Press, vol. 4(1), pages 46-61, April.
    9. Caracciolo, Francesco & Furno, Marilena, 2020. "Hedonic Functions, Heterogeneous Consumers, and Wine Market Segmentation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 45(2), March.
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    Agribusiness; Demand and Price Analysis;

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