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dc.rights.licenseopenen_US
hal.structure.identifierBordeaux sciences économiques [BSE]
dc.contributor.authorCARAYOL, Nicolas
IDREF: 059775874
dc.contributor.authorJACKSON, Matthew O.
dc.date.accessioned2024-07-02T14:59:53Z
dc.date.available2024-07-02T14:59:53Z
dc.date.issued2024-05-24
dc.identifier.issn0013-0133en_US
dc.identifier.urioai:crossref.org:10.1093/ej/ueae045
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/200710
dc.description.abstractEnAbstract Consumers, businesses, and organizations rely on others’ ratings of items when making choices. However, individual reviewers vary in their accuracy and some are biased – either systematically over- or under-rating items relative to others’ tastes, or even deliberately distorting a rating. We describe how to process ratings by a group of reviewers over a set of items and evaluate the individual reviewers’ accuracies and biases, in a way that yields unbiased and consistent estimates of the items’ true qualities. We provide Monte Carlo simulations that showcase the added value of our technique even with small data sets, and we show that this improvement increases as the number of items increases. Revisiting the famous 1976 wine tasting that compared Californian and Bordeaux wines, accounting for the substantial variation in reviewers’ biases and accuracies results in a ranking that differs from the original average rating. We also illustrate the power of this methodology with an application to more than forty-five thousand ratings of “en primeur” Bordeaux fine wines by expert critics. Those data show that our estimated wine qualities significantly predict prices when controlling for prominent experts’ ratings and numerous fixed effects. We also find that the elasticity of a wine price in an expert’s ratings increases with that expert’s accuracy.
dc.language.isoENen_US
dc.sourcecrossref
dc.subjectRatings
dc.subjectReviews
dc.subjectQualities
dc.subjectScoring
dc.subjectAggregating Ratings
dc.subjectWine Ratings
dc.title.enFinding the Wise and the Wisdom in a Crowd: Estimating Underlying Qualities of Reviewers and Items
dc.typeArticle de revueen_US
dc.identifier.doi10.1093/ej/ueae045en_US
dc.subject.halSciences de l'Homme et Société/Economies et financesen_US
dc.subject.jelD - Microeconomicsen_US
bordeaux.journalThe Economic Journalen_US
bordeaux.hal.laboratoriesBordeaux Sciences Economiques / Bordeaux School of Economics (BSE) - UMR 6060en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.institutionINRAEen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcedissemin
hal.identifierhal-04738328
hal.version1
hal.date.transferred2024-10-15T14:10:18Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
workflow.import.sourcedissemin
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=The%20Economic%20Journal&rft.date=2024-05-24&rft.eissn=0013-0133&rft.issn=0013-0133&rft.au=CARAYOL,%20Nicolas&JACKSON,%20Matthew%20O.&rft.genre=article


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