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Machine Learning for Econometrics and Related Topics on Hardback
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Machine Learning for Econometrics and Related Topics

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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.
Release date Australia
June 15th, 2024
Audience
  • Professional & Vocational
Contributors
  • Edited by Songsak Sriboonchitta
  • Edited by Vladik Kreinovich
  • Edited by Woraphon Yamaka
Edition
1st ed. 2024
Illustrations
82 Illustrations, color; 15 Illustrations, black and white; XII, 486 p. 97 illus., 82 illus. in color.
Pages
486
ISBN-13
9783031436000
Product ID
37967107

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