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.
Содержание
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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язык английский ● Формат PDF ● страницы 94 ● ISBN 9783319690148 ● Размер файла 2.1 MB ● издатель Springer International Publishing ● город Cham ● Страна CH ● опубликованный 2017 ● Загружаемые 24 месяцы ● валюта EUR ● Код товара 5578096 ● Защита от копирования Социальный DRM