Predicting Italian Wine Quality from Weather Data and Expert Ratings

Alessandro Corsi and Orley Ashenfelter

Journal of Wine Economics, 2019, vol. 14, issue 3, 234-251

Abstract: In this paper we estimate how a variety of subjective measures of quality taken from the published opinions of several experts on Italian wines (Barolo and Barbaresco) are determined by the weather conditions during the relevant season, in order to assess their reliability. Since these measures of quality are only ordinal, we estimate their determinants using an ordered probit model. The method provides measures of the determinants of vintage quality ratings and suggestions on the reliability of each expert. (JEL Classifications: D12, Q11, Q13)

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)

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:cup:jwecon:v:14:y:2019:i:3:p:234-251_2

Access Statistics for this article

More articles in Journal of Wine Economics from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().