{"id":100,"date":"2013-12-09T07:24:26","date_gmt":"2013-12-09T11:24:26","guid":{"rendered":"http:\/\/agiltools.com\/blogsp\/?p=100"},"modified":"2016-03-03T13:45:37","modified_gmt":"2016-03-03T19:45:37","slug":"big-data-tricks-econometrics","status":"publish","type":"post","link":"https:\/\/agiltools.com\/blogsp\/big-data-tricks-econometrics\/","title":{"rendered":"Big Data: New Tricks for Econometrics"},"content":{"rendered":"<div id=\"dslc-theme-content\"><div id=\"dslc-theme-content-inner\"><p>Recientemente (noviembre de 2013) sali\u00f3 publicado un muy buen articulo de <a title=\"Hal Varian\" href=\"http:\/\/en.wikipedia.org\/wiki\/Hal_Varian\" target=\"_blank\">Hal Varian<\/a>\u00a0sobre la cada vez mas estrecha relaci\u00f3n de los economistas con los grandes datos (<a title=\"Big-data)\" href=\"http:\/\/en.wikipedia.org\/wiki\/Big_data\" target=\"_blank\">big-data<\/a>).<\/p>\n<p>A manera de resumen general, el articulo trata de la importancia de incluir las t\u00e9cnicas de grandes datos como la mineria de datos, las redes neuronales y el aprendizaje artificial, en las ciencias economicas y mas especificamente, en el trabajo de los econometristas. Hace un recorrido general por las herramientas informaticas utilizadas y las t\u00e9cnicas mas comunes.<\/p>\n<p>Vale la pena leerlo, aqui les dejo el <a title=\"Variant's article\" href=\"http:\/\/people.ischool.berkeley.edu\/~hal\/Papers\/2013\/ml.pdf#%21\" target=\"_blank\">link <\/a>para descargarlo.<\/p>\n<div class=\"sharedaddy sd-sharing-enabled\"><div class=\"robots-nocontent sd-block sd-social sd-social-icon-text sd-sharing\"><div class=\"sd-content\"><ul><li class=\"share-twitter\"><a rel=\"nofollow noopener noreferrer\" data-shared=\"sharing-twitter-100\" class=\"share-twitter sd-button share-icon\" href=\"https:\/\/agiltools.com\/blogsp\/big-data-tricks-econometrics\/?share=twitter\" target=\"_blank\" title=\"Click to share on Twitter\"><span>Twitter<\/span><\/a><\/li><li class=\"share-facebook\"><a rel=\"nofollow noopener noreferrer\" data-shared=\"sharing-facebook-100\" class=\"share-facebook sd-button share-icon\" href=\"https:\/\/agiltools.com\/blogsp\/big-data-tricks-econometrics\/?share=facebook\" target=\"_blank\" title=\"Click to share on Facebook\"><span>Facebook<\/span><\/a><\/li><li class=\"share-end\"><\/li><\/ul><\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Recientemente (noviembre de 2013) sali\u00f3 publicado un muy buen articulo de Hal Varian\u00a0sobre la cada vez mas estrecha relaci\u00f3n de los economistas con los grandes datos (big-data). A manera de resumen general, el articulo trata de la importancia de incluir las t\u00e9cnicas de grandes datos como la mineria de datos, las redes neuronales y el [&hellip;]<\/p>\n<div class=\"sharedaddy sd-sharing-enabled\"><div class=\"robots-nocontent sd-block sd-social sd-social-icon-text sd-sharing\"><div class=\"sd-content\"><ul><li class=\"share-twitter\"><a rel=\"nofollow noopener noreferrer\" data-shared=\"sharing-twitter-100\" class=\"share-twitter sd-button share-icon\" href=\"https:\/\/agiltools.com\/blogsp\/big-data-tricks-econometrics\/?share=twitter\" target=\"_blank\" title=\"Click to share on Twitter\"><span>Twitter<\/span><\/a><\/li><li class=\"share-facebook\"><a rel=\"nofollow noopener noreferrer\" data-shared=\"sharing-facebook-100\" class=\"share-facebook sd-button share-icon\" href=\"https:\/\/agiltools.com\/blogsp\/big-data-tricks-econometrics\/?share=facebook\" target=\"_blank\" title=\"Click to share on Facebook\"><span>Facebook<\/span><\/a><\/li><li class=\"share-end\"><\/li><\/ul><\/div><\/div><\/div>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"spay_email":""},"categories":[3],"tags":[19,20],"jetpack_featured_media_url":"","jetpack_likes_enabled":true,"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/posts\/100"}],"collection":[{"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/comments?post=100"}],"version-history":[{"count":3,"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/posts\/100\/revisions"}],"predecessor-version":[{"id":134,"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/posts\/100\/revisions\/134"}],"wp:attachment":[{"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/media?parent=100"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/categories?post=100"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/tags?post=100"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}