Machine-learning techniques in economics : new tools for predicting economic growth
著者
書誌事項
Machine-learning techniques in economics : new tools for predicting economic growth
（Springer briefs in economics）
Springer, c2017
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注記
Includes bibliographical references
内容説明・目次
内容説明
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.
目次
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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