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Machine-learning Techniques in Economics

New Tools for Predicting Economic Growth

Specificaties
Paperback, blz. | Engels
Springer International Publishing | 2018
ISBN13: 9783319690131
Rubricering
Springer International Publishing e druk, 2018 9783319690131
Onderdeel van serie SpringerBriefs in Economics
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Samenvatting

This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technology combined with a dawning realization of its applicability to economic questions makes it a new tool for economists. 

Specificaties

ISBN13:9783319690131
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing

Inhoudsopgave

Why this Book?.- Data, Variables, and Their Sources.- Methodology.- Predicting Economic Growth: A First Look.- Predicting Economic Growth: Which Variables Matter?.- Predicting Recessions: What We Learn from Widening the Goalposts.- Epilogue.
€ 78,99
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        Machine-learning Techniques in Economics