Song Yao
Associate Professor of Marketing, Carlson School of Management, University of Minnesota

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Full-Time / Part-Time MBA
Customer Analytics (MKTG-953)
Marketing is evolving from an art to a science. Many firms have extensive information about consumers' choices and how they react to marketing campaigns, but few firms have the expertise to intelligently act on such information. In this course, students will learn the scientific approach to marketing with hands-on use of technologies such as databases, analytics and computing systems to collect, analyze, and act on customer information. While students will employ quantitative methods in the course, the goal is not to produce experts in statistics; rather, students will gain the competency to interact with and manage a marketing analytics team.



PhD
Applied Econometrics II (MECS-477)
The course develops the behavioral and statistical foundations of econometric approaches to testing causal models of individual, firm, and market behavior. The course aims to provide students with a specific and systematic approach for assessing the plausibility (and limitations) of causal inference. This includes assessing the role of a behavioral model in the formulation of an econometric model, accounting for the potential impact of unobservables on estimation and inference, and evaluating behavioral and statistical sources of identification.