Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth - Couverture souple

Livre 102 sur 159: SpringerBriefs in Economics

Basuchoudhary, Atin; Bang, James T.; Sen, Tinni

 
9783319690131: Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth

Synopsis

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

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