Prediction and Causality in Econometrics and Related Topics: 983 - Brossura

Brossura

ISBN 10: 3030770966 ISBN 13: 9783030770969

Casa editrice: Springer Nature, 2022

Riassunto

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.

Su questo libro

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 3030770966
• ISBN 13: 9783030770969
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 696
• Redattore: Thach Nguyen Ngoc, Ha Doan Thanh, Trung Nguyen Duc, Kreinovich Vladik
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania