{"id":6451,"date":"2023-08-22T14:56:25","date_gmt":"2023-08-22T14:56:25","guid":{"rendered":"https:\/\/aaep.org.ar\/?p=6451"},"modified":"2023-08-22T14:56:28","modified_gmt":"2023-08-22T14:56:28","slug":"explaining-wine-scores-through-stochastic-frontier-analysis","status":"publish","type":"post","link":"https:\/\/aaep.org.ar\/?p=6451","title":{"rendered":"Explaining Wine Scores Through Stochastic Frontier Analysis"},"content":{"rendered":"<iframe loading=\"lazy\" class=\"wonderplugin-pdf-iframe\" src=\"https:\/\/aaep.org.ar\/wp-content\/plugins\/wonderplugin-pdf-embed\/pdfjslight\/web\/viewer.html?v=2&file=https:\/\/aaep.org.ar\/works\/works2022\/4621.pdf\" width=\"100%\" height=\"600px\" style=\"border:0;\"><\/iframe>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Experts give scores to wines, which are quality proxies for marketers and buyers. The production of wine quality is explained by a set of observable objective attributes, plus another set of unobservable and subjective (sensory) features, and randomness. We use a Stochastic Frontier Approach (SFA) to understand whether objective and subjective (sensory) characteristics of wines explain the differences in wine scores. We estimate a wine quality stochastic frontier production function, using a database of 1800 top-scored wines, in an 18 years-window encompassing objective determinants (price, production, year, grape, country, etcetera), being sensory aspects related to wine grading unobservable. We find that the variables included explain half of the \u201cefficiency\u201d in attaining scores and our results suggest that sensory variables may have a role in explaining inefficiency.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","footnotes":""},"categories":[29],"tags":[30],"class_list":["post-6451","post","type-post","status-publish","format-standard","hentry","category-anales","tag-aaep-anales-2022"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Explaining Wine Scores Through Stochastic Frontier Analysis - Asociaci\u00f3n Argentina de Econom\u00eda Pol\u00edtica<\/title>\n<meta name=\"robots\" content=\"noindex, follow\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Explaining Wine Scores Through Stochastic Frontier Analysis - Asociaci\u00f3n Argentina de Econom\u00eda Pol\u00edtica\" \/>\n<meta property=\"og:description\" content=\"Experts give scores to wines, which are quality proxies for marketers and buyers. The production of wine quality is explained by a set of observable objective attributes, plus another set of unobservable and subjective (sensory) features, and randomness. We use a Stochastic Frontier Approach (SFA) to understand whether objective and subjective (sensory) characteristics of wines explain the differences in wine scores. We estimate a wine quality stochastic frontier production function, using a database of 1800 top-scored wines, in an 18 years-window encompassing objective determinants (price, production, year, grape, country, etcetera), being sensory aspects related to wine grading unobservable. We find that the variables included explain half of the \u201cefficiency\u201d in attaining scores and our results suggest that sensory variables may have a role in explaining inefficiency.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/aaep.org.ar\/?p=6451\" \/>\n<meta property=\"og:site_name\" content=\"Asociaci\u00f3n Argentina de Econom\u00eda Pol\u00edtica\" \/>\n<meta property=\"article:published_time\" content=\"2023-08-22T14:56:25+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-08-22T14:56:28+00:00\" \/>\n<meta name=\"author\" content=\"aaepolitica\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@aaepoficial\" \/>\n<meta name=\"twitter:site\" content=\"@aaepoficial\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"aaepolitica\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/aaep.org.ar\\\/?p=6451#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/aaep.org.ar\\\/?p=6451\"},\"author\":{\"name\":\"aaepolitica\",\"@id\":\"https:\\\/\\\/aaep.org.ar\\\/#\\\/schema\\\/person\\\/7150b747ba20875259c74b2cd177316c\"},\"headline\":\"Explaining Wine Scores Through Stochastic Frontier Analysis\",\"datePublished\":\"2023-08-22T14:56:25+00:00\",\"dateModified\":\"2023-08-22T14:56:28+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/aaep.org.ar\\\/?p=6451\"},\"wordCount\":22,\"publisher\":{\"@id\":\"https:\\\/\\\/aaep.org.ar\\\/#organization\"},\"keywords\":[\"AAEP Anales 2022\"],\"articleSection\":[\"Anales\"],\"inLanguage\":\"es\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/aaep.org.ar\\\/?p=6451\",\"url\":\"https:\\\/\\\/aaep.org.ar\\\/?p=6451\",\"name\":\"Explaining Wine Scores Through Stochastic Frontier Analysis - 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