Machine Learning for Econometrics and Related Topics (Hardcover)

Language: English

Published by Springer International Publishing AG, Cham, 2024

3031436008 / 9783031436000

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Hardcover. 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. In the last decades, machine learning techniques especially techniques of deep learning led to numerous successes in many application areas, including economics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783031436000

Title
Machine Learning for Econometrics and Related Topics (Hardcover)
Author
Vladik Kreinovich
Publisher
Springer International Publishing AG, Cham
Publication year
2024
Condition
new
Binding
Hardcover
Language
English
ISBN 10
3031436008
ISBN 13
9783031436000

Grand Eagle Retail

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