Machine-Learning Techniques in Economics: New Tools for Predicting Economic Growth

by Atin Basuchoudhary, Tinni Sen, James T. Bang

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Offers a guide to how machine learning techniques can improve predictive power in answering economic questions
Provides R codes to help guide the researcher in applying machine learning techniques using the R package

Uses partial dependence plots to tease out non-linear effects of explanatory variables on the dependent variables

Format:Paperback

Language:English

ISBN:3319690132

ISBN13:9783319690131

Release Date:January 2018

Publisher:Springer

Length:94 Pages

Weight:0.33 lbs.

Dimensions:0.2" x 6.1" x 9.2"

Related Subjects

Business Business & Investing Computers Computers & Technology

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Machine-Learning Techniques in Economics: New Tools for Predicting Economic Growth

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