Prediction and Causality in Econometrics and Related Topics [electronic resource] / edited by Nguyen Ngoc Thach, Doan Thanh Ha, Nguyen Duc Trung, Vladik Kreinovich.

9783030770945

1st ed. 2022.

Cham : Springer International Publishing : Imprint: Springer, 2022.

1 online resource (XI, 682 p.) 176 illus., 129 illus. in color.

Access is available to the Yale community.

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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.

Springer ENIN.

Books / Online

English

January 27, 2022