Prediction And Causality In Econometrics And Related Topics

Name: Springer Nature! This Book Provides The Ultimate Goal Of Economic Studies To Predict How The Economy Developsâand What Will Happen If We Implement Different Policies.
Brand: Springer Nature
SKU: CBAI-73521
Price: 199.99 USD
Availability: InStock

About The Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniquesâincluding 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. This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.

Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniquesâincluding 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. This book provides the ultimate goal of economic studies to predict how the economy developsâand what will happen if we implement different policies. This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction. Several papers study how COVID-19 has influenced the world economy. To be able to do that, we need to have a good understanding of what causes what in economics.

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Teachers and educators at any school level can find insights and inspirations into how educational robotics can promote technological interest and 21st-century skills: creativity, critical thinking, team working, and problem-solving with special emphasis on new emerging making technologies.

This book provides the ultimate goal of economic studies to predict how the economy developsâand what will happen if we implement different policies.

Books > Engineering

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Deep learning models also have the ability to generate actionable insights into the complex structures of large data sets.

The book is primarily meant for researchers from academia and industry, who are working on in the research areas such as engineering, control engineering, robotics, mechatronics, biomedical engineering, mechanical engineering and computer science.These research activities have borne some fruit in tackling some of the challenging problems of manned and unmanned ground, aerial and marine vehicles that are still open. The book chapters contain a good literature survey with a long list of references.

This book provides the ultimate goal of economic studies to predict how the economy developsâand 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 Econometrics and Related Topics Several papers study how COVID-19 has influenced the world economy.

This book aims at 1) providing engineers, designers, and practitioners with a broad overview of the state-of-the-art user experience research in automated driving to speed-up the implementation of automated vehicles and 2) helping researchers and students benefit from various perspectives and approaches to generate new research ideas and conduct more integrated research.

However, most of the research and implementation has been technology-driven, rather than human-centered.

This book aims at 1) providing engineers, designers, and practitioners with a broad overview of the state-of-the-art user experience research in automated driving to speed-up the implementation of automated vehicles and 2) helping researchers and students benefit from various perspectives and approaches to generate new research ideas and conduct more integrated research.

A variety of application scenarios and restrictions has been ambiguous.

This book aims at 1) providing engineers, designers, and practitioners with a broad overview of the state-of-the-art user experience research in automated driving to speed-up the implementation of automated vehicles and 2) helping researchers and students benefit from various perspectives and approaches to generate new research ideas and conduct more integrated research.

User Experience Design in the Era of Automated Driving Automated driving has experienced a major development boost in recent years.The levels of automated driving have been poorly defined and inconsistently used. A variety of application scenarios and restrictions has been ambiguous.