Machine-learning Techniques in Economics New Tools for Predicting Economic Growth /

• Main Authors: Basuchoudhary, Atin (Author), Bang, James T. (Author), Sen, Tinni (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: SpringerBriefs in Economics,
• Subjects: Data mining.; Application software.; Econometrics.; Game theory.; Economic growth.; Economics.; Economic Growth.; Data Mining and Knowledge Discovery.; Game Theory.; Computer Appl. in Social and Behavioral Sciences.

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 technolo...

Table of Contents:

• 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.