Professor Peter Klibanoff joined the Kellogg faculty in 1994 after receiving his PhD in Economics from MIT.
His research interests span a range of topics in economic theory. Some topics of special interest include decision theory, especially issues related to modeling decision making under uncertainty and ambiguity; optimal pricing and regulation; game theory including mechanism design; and asset pricing. His research has appeared in leading journals such as the American Economic Review, Econometrica, Journal of Economic Theory, Journal of Finance, Theoretical Economics and the Review of Economic Studies.
He teaches competitive strategy and statistics at the MBA level, decision theory at the doctoral level and economics of competition at the executive MBA level. His MBA statistics textbook (Managerial Statistics: A Case-Based Approach) is published by South-Western Cengage Learning (formerly Thomson South-Western).
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.