Téléchargez le livre : Machine Learning for Econometrics and Related Topics

Machine Learning for Econometrics and Related Topics



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Springer


Paru le : 2024-06-01



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Description

In the last decades, machine learning techniques – especially techniques of deep learning – led to numerous successes in many application areas, including economics. The use of machine learning in economics is the main focus of this book; however, the book also describes the use of more traditional econometric techniques. Applications include practically all major sectors of economics: agriculture, health (including the impact of Covid-19), manufacturing, trade, transportation, etc. Several papers analyze the effect of age, education, and gender on economy – and, more generally, issues of fairness and discrimination.
We hope that this volume will:help practitioners to become better knowledgeable of the state-of-the-art econometric techniques, especially techniques of machine learning,
and help researchers to further develop these important research directions. We want to thank all the authors for their contributions and all anonymous referees for their thorough analysis and helpful comments.
Pages
499 pages
Collection
n.c
Parution
2024-06-01
Marque
Springer
EAN papier
9783031436000
EAN PDF
9783031436017
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
49
Taille du fichier
15739 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
262,69 €
EAN EPUB
9783031436017
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
49
Taille du fichier
35932 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
262,69 €

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