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.
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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.
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Taal Engels ● Formaat PDF ● Pagina’s 94 ● ISBN 9783319690148 ● Bestandsgrootte 2.1 MB ● Uitgeverij Springer International Publishing ● Stad Cham ● Land CH ● Gepubliceerd 2017 ● Downloadbare 24 maanden ● Valuta EUR ● ID 5578096 ● Kopieerbeveiliging Sociale DRM
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