Machine-Learning Techniques in Economics: New Tools for Predicting Economic Growth – Paperback-Fast Shipping

Description

by
Atin Basuchoudhary (Author),
James T. Bang (Author),
Tinni Sen (Author)

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

Number of Pages: 94Dimensions: 0.21 x 9.21 x 6.14 INIllustrated: YesPublication Date: January 08, 2018