Prediction and Causality in Econometrics and Related Topics

Ngoc Thach, Nguyen (Edited by)/ Ha, Doan Thanh (Edited by)/ Trung, Nguyen Duc (Edited by)/ Kreinovich, Vladik (Edited by)

ISBN 10: 3030770931 / ISBN 13: 9783030770938

Edité par Springer, 2021

A propos de cet article

693 pages. 9.25x6.10x1.61 inches. In Stock.

N° de réf. du vendeur x-3030770931

Détails bibliographiques

• Titre: Prediction and Causality in Econometrics and Related Topics
• Éditeur: Springer
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 3030770931
• ISBN à 13 chiffres: 9783030770938
• Reliure: Hardcover
• État de l'article: Brand New

A propos de ce titre

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.