{"product_id":"machine-learning-for-econometrics-paperback","title":"Machine Learning for Econometrics - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eChristophe Gaillac\u003c\/b\u003e (Author), \u003cb\u003eJérémy L'Hour\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cem\u003eMachine Learning for Econometrics\u003c\/em\u003e is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in order to establish causal relationships from data. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eThe volume covers automatic variable selection in various high-dimensional contexts, estimation of treatment effect heterogeneity, natural language processing (NLP) techniques, as well as synthetic control and macroeconomic forecasting. The foundations of machine learning methods are introduced to provide both a thorough theoretical treatment of how they can be used in econometrics and numerous economic applications, and each chapter contains a series of empirical examples, programs, and exercises to facilitate the reader's adoption and implementation of the techniques.\u003cbr\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eChristophe Gaillac, \u003cem\u003eAssociate Professor, University of Geneva\u003c\/em\u003e, Jérémy L'Hour, \u003cem\u003eQuantitative researcher, Capital Fund Management\u003c\/em\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eChristophe Gaillac is an Associate Professor at the University of Geneva, GSEM. He was a postdoctoral prize research fellow at Oxford University and Nuffield College, and received his PhD in Economics from the Toulouse School of Economics. \u003cp\u003e\u003c\/p\u003eJérémy L'Hour is a quantitative researcher at Capital Fund Management (CFM), a Paris-based systematic hedge fund. He received his PhD in Economics from Université Paris-Saclay.\u003cbr\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 352\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.82 x 9.68 x 6.81 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 22, 2025\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":43154171559999,"sku":"9780198918837","price":76.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/j9aU7zmbEE9780198918837.webp?v=1776954402","url":"https:\/\/dhl-adrianne.myshopify.com\/products\/machine-learning-for-econometrics-paperback","provider":"BBB","version":"1.0","type":"link"}