Prediction and Causality in Econometrics and Related Topics - Couverture souple

Couverture souple

ISBN 10 : 3030770966 ISBN 13 : 9783030770969

Editeur : Springer Nature Switzerland AG, 2022

Synopsis

This book provides the ultimate goal of economic studies to predict how the economy develops-and what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniques-including quantum ideas -- to make predictions about the world economy (international trade, exchange rates), about a country's economy (gross domestic product, stock index, inflation rate), and about individual enterprises, banks, and micro-finance institutions: their future performance (including the risk of bankruptcy), their stock prices, and their liquidity. Several papers study how COVID-19 has influenced the world economy.
This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.

Détails de l'édition

• Éditeur: Springer Nature Switzerland AG
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 3030770966
• ISBN 13: 9783030770969
• Reliure: Broché
• Nombre de pages: 693
• Éditeur: Ngoc Thach Nguyen, Ha Doan Thanh, Trung Nguyen Duc, Kreinovich Vladik
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Allemagne