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Prediction and Causality in Econometrics and Related Topics

Prediction and Causality in Econometrics and Related Topics - Studies in Computational Intelligence

Paperback (28 Jul 2022)

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Publisher's 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.

Book information

ISBN: 9783030770969
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
DEWEY: 330.015195
DEWEY edition: 23
Language: English
Number of pages: 682
Weight: 957g
Height: 235mm
Width: 155mm
Spine width: 35mm