{"id":3426,"date":"2020-07-03T11:45:45","date_gmt":"2020-07-03T11:45:45","guid":{"rendered":"https:\/\/www.enginius.biz\/index.php\/models\/conjoint-2\/"},"modified":"2020-07-13T09:26:00","modified_gmt":"2020-07-13T09:26:00","slug":"panel","status":"publish","type":"page","link":"https:\/\/www.enginius.biz\/index.php\/models\/panel\/","title":{"rendered":"Panel data analysis"},"content":{"rendered":"\t\t
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Panel data analysis<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Panel regression analysis is an enhanced version of ordinary regression analysis (OLS) that is helpful in interpreting data that has a panel structure, namely, data sets where observations of multiple phenomena are obtained over multiple occasions for the same panel members.\u00a0 The multiple occasions could refer to time, geographies, or other contexts.\u00a0 With multiple observations, we have more information to obtain more precise estimates of the effects of the variables, and such estimates can improve decision making. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Try it!<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Test panel data analysis on a sample data set and see for yourself<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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LOGIN \/ REGISTER <\/i><\/a><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Key features<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Multiple models<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The tool provides three different estimation options: (1) random effects, (2) fixed effects, and (3) pooled OLS.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Automatic model selection<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Enginius offers an \u201cAutomatic\u201d option whereby the best estimation method is automatically selected from the three options (random effects, fixed effects, and pooled OLS) based on the appropriate statistical tests.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Case studies<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\n\t\t\t\tBlue Apron case study (panel, network)\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t
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Blue Apron Influencer Marketing (panel, network) Try it! Set in 2022, the Blue Apron case is structured to help students take a deep dive into the<\/p>\n\t\t<\/div>\n\t\t\n\t\t\n\t\t\tRead More \u00bb\t\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t<\/article>\n\t\t\t\t

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\"Mobile<\/div>\n\t\t<\/a>\n\t\t\t\t
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\n\t\t\t\n\t\t\t\tMobile Game Apps case study (panel, sentiment)\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t
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Mobile Games (sentiment analysis) Try it! Set in 2014, Mobile Apps is a case about the mobile app games market.\u00a0 It requires the application of<\/p>\n\t\t<\/div>\n\t\t\n\t\t\n\t\t\tRead More \u00bb\t\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t<\/article>\n\t\t\t\t

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\n\t\t\t\n\t\t\t\tABCDEmail: search engine analytics case study (panel)\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t
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ABCDEmail: search engine analytics (panel) Try it! Set in 2016-17, the case involves an email marketing company (anonymized) that used paid search campaigns and tracked<\/p>\n\t\t<\/div>\n\t\t\n\t\t\n\t\t\tRead More \u00bb\t\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t<\/article>\n\t\t\t\t<\/div>\n\t\t\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Panel data analysis Panel regression analysis is an enhanced version of ordinary regression analysis (OLS) that is helpful in interpreting data that has a panel structure, namely, data sets where observations of multiple phenomena are obtained over multiple occasions for the same panel members.\u00a0 The multiple occasions could refer to time, geographies, or other contexts.\u00a0 … <\/p>\n

Continue reading “ABCDEmail: search engine analytics case study (panel)”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":521,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"yst_prominent_words":[733,92,368,82,355,166,165,604,224,730,721,89,156,154,157,155,172,732,159,158],"class_list":["post-3426","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/pages\/3426","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/comments?post=3426"}],"version-history":[{"count":0,"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/pages\/3426\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/pages\/521"}],"wp:attachment":[{"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/media?parent=3426"}],"wp:term":[{"taxonomy":"yst_prominent_words","embeddable":true,"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/yst_prominent_words?post=3426"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}