Prediction and Causality in Econometrics and Related Topics (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 983
Release date:	July 2021
First published:	2022
Editors:	Nguyen Ngoc Thach • Doan Thanh Ha • Nguyen Duc Trung • Vladik Kreinovich
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	682
Edition:	1st ed. 2022
ISBN-13:	978-3-03-077093-8
Categories:	Books > Business & Economics > Economics > Econometrics > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-077093-1
Barcode:	9783030770938

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