{"id":10125,"date":"2024-11-12T08:44:40","date_gmt":"2024-11-12T07:44:40","guid":{"rendered":"https:\/\/www.uni.lu\/research-en\/?page_id=10125"},"modified":"2024-11-12T08:52:17","modified_gmt":"2024-11-12T07:52:17","slug":"machine-learning-for-econometrics","status":"publish","type":"page","link":"https:\/\/www.uni.lu\/research-en\/doctoral-education\/dsefm\/machine-learning-for-econometrics\/","title":{"rendered":"Machine Learning for Econometrics"},"content":{"rendered":"\n<section class=\"py-0 wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\">\n<section class=\"wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\">\n<h2 class=\"has-text-align-left wp-block-unilux-blocks-heading\"        id=\"course-machine-learning-for-econometrics\"\n    >\nCourse: Machine Learning for Econometrics<\/h2>\n\n\n<div class=\"wp-block-unilux-blocks-spacer is-spacer-size-sm\"><\/div>\n\n\n<p><\/p>\n\n\n\n<p><strong>Professor: <\/strong>Christophe Gaillac (University of Geneva (IEE\/GSEM))<\/p>\n\n\n\n<p><strong>ECTS<\/strong>: 1<\/p>\n\n\n\n<p><strong>Aims:<\/strong><\/p>\n\n\n\n<p>&#8211; Gain a broad understanding of how modern machine learning techniques can be used in economics and econometrics, and what are the benefits and limitations of these tools in this context.<\/p>\n\n\n\n<p>&#8211; You will discuss the theoretical properties of the methods introduced and present a series of empirical examples, programs, and exercises to learn how to apply these tools in practice.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Objectives:<\/strong><\/p>\n\n\n\n<p>The goal is to provide both a theoretical and practical understanding of the problems that machine learning tools can help solve in econometrics. The goal of this course is to expand the participants&#8217; knowledge of machine learning in order to apply it in a context traditionally reserved for econometrics.<\/p>\n\n\n<div class=\"wp-block-unilux-blocks-spacer is-spacer-size-md\"><\/div><\/div><\/section>\n<\/div><\/section>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":48,"featured_media":10128,"parent":76,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"","uluxPrePostTitle":"","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"footnotes":""},"field-of-interest":[45],"organisation":[137],"authorship":[48,83,85,33,217,194,196,214,287,320],"acf":[],"yoast_head":"<!-- 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