Machine-learning Techniques in Economics [electronic resource] : New Tools for Predicting Economic Growth  /
Basuchoudhary, Atin.author.
Bang, James T.author.
Sen, Tinni.author.
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. .
Includes bibliographical references.
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.
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. .
Economic growth.
Econometrics.
Data mining.
Game theory.
Social sciences
Economic Growth.
Econometrics.
Data Mining and Knowledge Discovery.
Game Theory.
Computer Appl. in Social and Behavioral Sciences.