The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Estimation of a Hedonic Price Equation for Bordeaux Wine: Does Quality Matter?
Abstract
In this paper the hedonic price technique is applied to Bordeaux wine. In the hedonic price function we include not only the ‘objective’ characteristics appearing on the label of the bottle, but also the sensory characteristics of the wine. Our data come from an experimental study in which juries have evaluated and graded a sample of Bordeaux wines. The estimation of the hedonic price equation shows that the market price is essentially determined by the objective characteristics. The estimation of a jury grade equation shows that quality, unlike the market price, is essentially determined by the sensory characteristics.
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Citations
Cites
Specification Tests in Econometrics
Hausman, J. A. (1978) · Econometrica · doi:10.2307/1913827 · Cited by 18,820
Cited by
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Didier, T., & Lucie, S. (2008) · International Journal of Consumer Studies · doi:10.1111/j.1470-6431.2008.00714.x · Cited by 294
Applying best‐worst scaling to wine marketing
Cohen, E. (2009) · International Journal of Wine Business Research · doi:10.1108/17511060910948008 · Cited by 254
Metadata
- Authors
- Combris, P., Lecocq, S., & Visser, M.
- Venue
- The Economic Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 1997-03-01
- Volume
- 107
- Issue
- 441
- Pages
- 390-402
- ISSN
- 0013-0133 (ISSN-L)
- 1468-0297
- OpenAlex
- W2070166845
- Cited by
- 501
- References
- 1
- FWCI
- 42.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- Combris, P., Lecocq, S., & Visser, M. (1997). Estimation of a Hedonic Price Equation for Bordeaux Wine: Does Quality Matter? The Economic Journal. https://doi.org/10.1111/j.0013-0133.1997.165.x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
