Machine Learning for Econometrics and Related Topics

Vladik Kreinovich

ISBN 10: 3031436032 / ISBN 13: 9783031436031

Published by Springer, Springer, 2025

About this Item

Druck auf Anfrage Neuware - Printed after ordering.

Seller Inventory # 9783031436031

Bibliographic Details

• Title: Machine Learning for Econometrics and Related Topics
• Publisher: Springer, Springer
• Publication Date: 2025
• Language: English
• ISBN 10: 3031436032
• ISBN 13: 9783031436031
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 21D millimeters 235 millimeters width by 155 millimeters height by 21 millimeters depth
• Weight: 861 grams

About this title

Synopsis

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.