Explaining wine scores through stochastic frontier analysis: an intent to measure sensory non-observable attributes
Experts give scores to wines, which are quality proxies for marketers and buyers. The production of scores proxying wine quality is explained by a set of observable objective attributes, plus another set of unobservable and subjective (sensory) features, and randomness. Is it possible to use a Stoch...
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| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
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Taylor and Francis
2024
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| Online Access: | http://hdl.handle.net/20.500.12123/20032 https://www.tandfonline.com/doi/10.1080/09571264.2024.2421548 https://doi.org/10.1080/09571264.2024.2421548 |
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| author | Ferro, Gustavo Adolfo Gatti, Nicolas |
| author_browse | Ferro, Gustavo Adolfo Gatti, Nicolas |
| author_facet | Ferro, Gustavo Adolfo Gatti, Nicolas |
| author_sort | Ferro, Gustavo Adolfo |
| collection | INTA Digital |
| description | Experts give scores to wines, which are quality proxies for marketers and buyers. The production of scores proxying wine quality is explained by a set of observable objective attributes, plus another set of unobservable and subjective (sensory) features, and randomness. Is it possible to use a Stochastic Frontier Approach (SFA) to understand whether objective and subjective (sensory) characteristics of wines explain the differences in ‘producing’ wine scores? We estimate a wine quality stochastic frontier production function, using a database of 1800 top-scored wines, in 18 years-window encompassing objective determinants that largely explain the scores (price, production, year, grape, country, etcetera), being aware that sensory aspects related to wine grading are unobservable. We find that the observable variables explain part of the ‘efficiency’ in attaining scores and suggest that ‘inefficiency’ in score generation can be attributed to unobservable (sensory) variables. |
| format | info:ar-repo/semantics/artículo |
| id | INTA20032 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Taylor and Francis |
| publisherStr | Taylor and Francis |
| record_format | dspace |
| spelling | INTA200322024-11-01T10:20:26Z Explaining wine scores through stochastic frontier analysis: an intent to measure sensory non-observable attributes Ferro, Gustavo Adolfo Gatti, Nicolas Vinos Calidad Modelos Estocásticos Wines Quality Stochastic Models Stochastic Frontier Approach Stochastic Frontier Analysis Fronteras Estocásticas Experts give scores to wines, which are quality proxies for marketers and buyers. The production of scores proxying wine quality is explained by a set of observable objective attributes, plus another set of unobservable and subjective (sensory) features, and randomness. Is it possible to use a Stochastic Frontier Approach (SFA) to understand whether objective and subjective (sensory) characteristics of wines explain the differences in ‘producing’ wine scores? We estimate a wine quality stochastic frontier production function, using a database of 1800 top-scored wines, in 18 years-window encompassing objective determinants that largely explain the scores (price, production, year, grape, country, etcetera), being aware that sensory aspects related to wine grading are unobservable. We find that the observable variables explain part of the ‘efficiency’ in attaining scores and suggest that ‘inefficiency’ in score generation can be attributed to unobservable (sensory) variables. Los expertos califican los vinos para ayudar a los vendedores y compradores a identificar su calidad. La calidad del vino se determina por atributos objetivos observables, como también por características no observables y subjetivas (sensoriales) y aleatorias. ¿Se puede usar la técnica de frontera estocástica para analizar si las características objetivas y subjetivas (sensoriales) de los vinos explican las diferencias en las puntuaciones que reciben? En este estudio, se calculó una función de frontera estocástica de producción de la calidad del vino utilizando información sobre 1800 vinos de alta puntuación que abarca una ventana de 18 años. Se consideraron factores como el precio, la producción, el año, la uva, el país, etc., aunque se reconoce que los aspectos sensoriales no se pueden medir directamente. Encontramos que las variables observables contribuyen a la “eficiencia” en la obtención de puntajes, mientras que la ”ineficiencia” en la generación de puntajes puede deberse a variables no observables (sensoriales). Centro de Investigación en Economía y Prospectiva Fil: Ferro, Gustavo Adolfo. Universidad del Centro de Estudios Macroeconómicos de Argentina (UCEMA); Argentina Fil: Ferro, Gustavo Adolfo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Gatti, Nicolás. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigación en Economía y Prospectiva (CIEP); Argentina Fil: Gatti, Nicolás. Universidad del Centro de Estudios Macroeconómicos de Argentina (UCEMA); Argentina 2024-11-01T10:11:57Z 2024-11-01T10:11:57Z 2024-10 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/20032 https://www.tandfonline.com/doi/10.1080/09571264.2024.2421548 Ferro, G., & Gatti, N. (2024). Explaining wine scores through stochastic frontier analysis. An intent to measure sensory non-observable attributes. Journal of Wine Research, 1–20. https://doi.org/10.1080/09571264.2024.2421548 1469-9672 0957-1264 https://doi.org/10.1080/09571264.2024.2421548 eng info:eu-repo/semantics/restrictedAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Taylor and Francis Journal of Wine Research : 1-20. (Published online: 28 Oct 2024) |
| spellingShingle | Vinos Calidad Modelos Estocásticos Wines Quality Stochastic Models Stochastic Frontier Approach Stochastic Frontier Analysis Fronteras Estocásticas Ferro, Gustavo Adolfo Gatti, Nicolas Explaining wine scores through stochastic frontier analysis: an intent to measure sensory non-observable attributes |
| title | Explaining wine scores through stochastic frontier analysis: an intent to measure sensory non-observable attributes |
| title_full | Explaining wine scores through stochastic frontier analysis: an intent to measure sensory non-observable attributes |
| title_fullStr | Explaining wine scores through stochastic frontier analysis: an intent to measure sensory non-observable attributes |
| title_full_unstemmed | Explaining wine scores through stochastic frontier analysis: an intent to measure sensory non-observable attributes |
| title_short | Explaining wine scores through stochastic frontier analysis: an intent to measure sensory non-observable attributes |
| title_sort | explaining wine scores through stochastic frontier analysis an intent to measure sensory non observable attributes |
| topic | Vinos Calidad Modelos Estocásticos Wines Quality Stochastic Models Stochastic Frontier Approach Stochastic Frontier Analysis Fronteras Estocásticas |
| url | http://hdl.handle.net/20.500.12123/20032 https://www.tandfonline.com/doi/10.1080/09571264.2024.2421548 https://doi.org/10.1080/09571264.2024.2421548 |
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