Empirical Models in Marketing - Part A

Catalog description

This course is designed to generate knowledge of the use of quantitative statistical, econometric, and Machine Learning methods and their application to Marketing problems. A strong emphasis is also placed on the applied nature of applying these methods in terms of data requirements, exogenous versus endogenous variation, and computational challenges when using complex models. Students outside of Marketing are welcome, and we discuss how these models can be applied to other disciplines. By the end of the course, students should be familiar with the key issues and approaches in empirical marketing modeling.