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Prediction and Causality in Econometrics and Related Topics. 2022 ed.
・ISBN 978-3-030-77096-9 paper EUR 199.99
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お気に入り
★★★
| 著者・編者 | Ngoc Thach, Nguyen / Ha, Doan Thanh / Trung, Nguyen Duc / Kreinovich, Vladik (eds.), |
|---|---|
| シリーズ | (Studies in Computational Intelligence) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 682 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-95757＞ |
解説
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.
This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.