Does quality pay off? “Superstar” wines and the uncertain price premium across quality grades
Stefano Castriota,
Stefano Corsi,
Paolo Dyno Frumento and
Giordano Ruggeri
No 321846, Working Papers from American Association of Wine Economists
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.
Keywords: Agribusiness; Demand and Price Analysis (search for similar items in EconPapers)
Pages: 25
Date: 2021
New Economics Papers: this item is included in nep-agr
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/321846/files/AAWE_WP270.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:aawewp:321846
DOI: 10.22004/ag.econ.321846
Access Statistics for this paper
More papers in Working Papers from American Association of Wine Economists Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().