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.
Inhalt
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.
Inhalt
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.
Titel
Machine-learning Techniques in Economics
Untertitel
New Tools for Predicting Economic Growth
EAN
9783319690148
ISBN
978-3-319-69014-8
Format
E-Book (pdf)
Hersteller
Herausgeber
Veröffentlichung
28.12.2017
Digitaler Kopierschutz
Wasserzeichen
Dateigrösse
2 MB
Anzahl Seiten
94
Jahr
2017
Untertitel
Englisch
Features
Unterstützte Lesegerätegruppen: PC/MAC/eReader/Tablet
Unerwartete Verzögerung
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