Daniel Martin is an Associate Professor (untenured) in the Managerial Economics and Decision Sciences (MEDS) department at Kellogg. He is a behavioral and experimental economist who studies why consumers may be uninformed about prices or quality and the welfare implications of their incomplete information. For example, he investigates why firms might not voluntarily and clearly disclose information about quality and why consumers do not pay full attention to information about prices and quality. His research has appeared in the top journals of the American Economic Association, Royal Economic Society, and Harvard Kennedy School. Before receiving a PhD in Economics from New York University, he was the co-founder of a small business, which is now one of the leading providers of IT services to small and medium-sized businesses in the Carolinas.
Professor Martin teaches Business Analytics II, a class on multivariate regression techniques, in the core curriculum of the MBA program. Since arriving at Kellogg, he has received a Chair's Core Teaching Award and six Kellogg Impact Awards from the Kellogg Student Association. He also teaches a PhD class on behavioral economics and co-organizes the Kellogg Behavioral Economics Seminar.
Attention and Perception, Information Disclosure, Behavioral Welfare Economics
This core course is equivalent to the course DECS-440 (MMM Business Analytics).
This sequel to DECS-430 extends the statistical techniques learned in that course to allow for the exploration of relationships between variables, primarily through multivariate regression. In addition to learning basic regression skills, including modeling and estimation, students will deepen their understanding of hypothesis testing and how to make inferences and predictions from data. Students will also learn new principles such as identification and robustness. The course has an intense focus on managerial relevant applications, cases and interpretations.