Atin Basuchoudhary, James T. Bang, Tinni Sen

Machine-learning Techniques in Economics (eBook, PDF)

New Tools for Predicting Economic Growth

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 94
• Erscheinungstermin: 28. Dezember 2017
• Englisch
• ISBN-13: 9783319690148
• Artikelnr.: 53059235

Inhaltsangabe

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.