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Prediction and Causality in Econometrics and Related Topics (2022)

Contributor(s): Ngoc Thach, Nguyen (Editor), Ha, Doan Thanh (Editor), Trung, Nguyen Duc (Editor), Kreinovich, Vladik (Editor)

ISBN: 9783030770969

Publisher: Springer

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Pub Date: July 28, 2022

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 1.39" H x 9.21" L x 6.14" W ( 2.11 lbs) 682 pages

Series: Studies in Computational Intelligence

Descriptions, Reviews, etc.

Description: 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.

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