Predictive Analytics in Automobile Industry: A Comparison between Artificial Intelligence and Econometrics

This study compares the model efficacy of Neural Network and Vector Auto Regression. Further it also analyses the impact of predictors controlling for total industry volume. Understanding both the methodologies has their distinctive advantages and disadvantages. Our empirical findings indicate that...

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Bibliographic Details
Main Authors: Shalini, Velappan, Krishnamurthy, Sridharan, Narasimhan, Srinivasan
Format: Report
Language:English
Subjects:
Fuel Types
Neural Networks
Prediction
Vector Auto Regression
Online Access:Request full text
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Summary:This study compares the model efficacy of Neural Network and Vector Auto Regression. Further it also analyses the impact of predictors controlling for total industry volume. Understanding both the methodologies has their distinctive advantages and disadvantages. Our empirical findings indicate that based on the characteristics of data such as non-stationary, non-linearity and non-normality paves the way for use of machine learning algorithm relative to econometrics technique. Our results suggest that data type and its characteristics are more important in determining the methodology than the methodology itself. In industry, econometrics methodologies are widely used due to their usage simplicity and its ability to explain the relationships in simple terms.
ISSN:0148-7191
2688-3627
DOI:10.4271/2017-01-0238