			{"id":126090,"date":"2020-08-11T17:56:01","date_gmt":"2020-08-11T21:56:01","guid":{"rendered":"https:\/\/fsc-ccf.ca\/references\/the-effects-of-algorithmic-labor-market-recommendations-evidence-from-a-field-experiment-2\/"},"modified":"2020-08-11T17:56:01","modified_gmt":"2020-08-11T21:56:01","slug":"the-effects-of-algorithmic-labor-market-recommendations-evidence-from-a-field-experiment-2","status":"publish","type":"reference","link":"https:\/\/fsc-ccf.ca\/fr\/references\/the-effects-of-algorithmic-labor-market-recommendations-evidence-from-a-field-experiment-2\/","title":{"rendered":"The effects of algorithmic labor market recommendations: Evidence from a field experiment"},"content":{"rendered":"<p>Algorithmiquement recommandant des travailleurs aux employeurs dans le but de recruter peut augmenter consid\u00e9rablement l&#8217;embauche: dans une exp\u00e9rience men\u00e9e sur un march\u00e9 du travail en ligne, les employeurs avec des offres d&#8217;emploi techniques qui ont re\u00e7u des recommandations de recrutement avaient un taux de remplissage sup\u00e9rieur \u00e0 20% par rapport au t\u00e9moin. Rien ne prouve que le traitement \u00e9vinc\u00e9es embauche des candidats non recommand\u00e9s. Les recrues choisies exp\u00e9rimentalement induites ont \u00e9t\u00e9 tr\u00e8s positivement et \u00e9taient statistiquement impossibles \u00e0 distinguer des types de travailleurs les employeurs recrutent \u00ab eux-m\u00eames. \u00bb Les recommandations ont \u00e9t\u00e9 les plus efficaces pour les offres d&#8217;emploi qui \u00e9taient susceptibles de recevoir un plus petit bassin de candidats. Traduit a\u0300 l'aide de Google Translate<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Algorithmiquement recommandant des travailleurs aux employeurs dans le but de recruter peut augmenter consid\u00e9rablement l&#8217;embauche: dans une exp\u00e9rience men\u00e9e sur un march\u00e9 du travail en ligne, les employeurs avec des offres d&#8217;emploi techniques qui ont re\u00e7u des recommandations de recrutement avaient un taux de remplissage sup\u00e9rieur \u00e0 20% par rapport au t\u00e9moin. Rien ne prouve que le traitement \u00e9vinc\u00e9es embauche des candidats non recommand\u00e9s. Les recrues choisies exp\u00e9rimentalement induites ont \u00e9t\u00e9 tr\u00e8s positivement et \u00e9taient statistiquement impossibles \u00e0 distinguer des types de travailleurs les employeurs recrutent \u00ab eux-m\u00eames. \u00bb Les recommandations ont \u00e9t\u00e9 les plus efficaces pour les offres d&#8217;emploi qui \u00e9taient susceptibles de recevoir un plus petit bassin de candidats. [googletranslate_fr]<\/p>\n","protected":false},"template":"","reference-tag":[],"reference-type":[435],"class_list":["post-126090","reference","type-reference","status-publish","hentry","reference-type-journal-article"],"acf":{"citation":"Horton, J. (2017). The effects of algorithmic labor market recommendations: Evidence from a field experiment. Journal of Labor Economics, 35(2), 345-385. Retrieved from https:\/\/www.journals.uchicago.edu\/doi\/abs\/10.1086\/689213.","authors":"Horton, J.","org":"New York University","year":"2017","title_fr":null,"editors_hidden":"","publication":"Journal of Labor Economics","publication_fr":null,"volume":"35","issue":"2","Series":"","SeriesNumber":"","page_range":"345-385","publisher_city":"","publisher_state":"","publisher":"","abstract_en":null,"abstract_fr":null,"keywords":"","paywall":"0","doi":"10.1086\/689213","isbn":"","url":"https:\/\/www.journals.uchicago.edu\/doi\/abs\/10.1086\/689213","url_fr":null,"url_amazon":"","TRACK":"0"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The effects of algorithmic labor market recommendations: Evidence from a field experiment - Future Skills Centre \u2022 Centre des Comp\u00e9tences futures<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fsc-ccf.ca\/fr\/references\/the-effects-of-algorithmic-labor-market-recommendations-evidence-from-a-field-experiment-2\/\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/fsc-ccf.ca\\\/fr\\\/references\\\/the-effects-of-algorithmic-labor-market-recommendations-evidence-from-a-field-experiment-2\\\/\",\"url\":\"https:\\\/\\\/fsc-ccf.ca\\\/fr\\\/references\\\/the-effects-of-algorithmic-labor-market-recommendations-evidence-from-a-field-experiment-2\\\/\",\"name\":\"The effects of algorithmic labor market recommendations: Evidence from a field experiment - 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