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Machine-learning Techniques in Economics Atin Basuchoudhary

Machine-learning Techniques in Economics By Atin Basuchoudhary

Machine-learning Techniques in Economics by Atin Basuchoudhary


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Summary

This book develops a machine-learning framework for predicting economic growth. 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.

Machine-learning Techniques in Economics Summary

Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth by Atin Basuchoudhary

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.

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.

Additional information

NLS9783319690131
9783319690131
3319690132
Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth by Atin Basuchoudhary
New
Paperback
Springer International Publishing AG
2018-01-08
94
N/A
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