Prediction and Causality in Econometrics and Related Topics / Studies in Computational Intelligence Bd.983 (PDF)
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- 2021, 1st ed. 2022, 682 Seiten, Englisch
- Herausgegeben: Nguyen Ngoc Thach, Doan Thanh Ha, Nguyen Duc Trung, Vladik Kreinovich
- Verlag: Springer International Publishing
- ISBN-10: 303077094X
- ISBN-13: 9783030770945
- Erscheinungsdatum: 26.07.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 63 MB
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Sprache:
Englisch
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