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, AEJ: Microeconomics, Econometrica, Journal of Economic Theory, Journal of Finance, Management Science, 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 Cengage Learning (formerly Thomson South-Western).

Economic theory, including: decision theory and issues related to modeling decision making under uncertainty and ambiguity; optimal pricing and regulation; game theory; mechanism design; asset pricing; and behavioral economics.

• PhD, 1994, Economics, Massachusetts Institute of Technology
• BA, 1990, Applied Mathematics, Harvard University, Summa Cum Laude

• Professor, Managerial Economics and Decision Sciences, Kellogg School of Management, Northwestern University
• Associate Professor, Managerial Economics and Decision Sciences, Kellogg School of Management, Northwestern University, 8/31/2014
• Assistant Professor, Managerial Economics and Decision Sciences, Kellogg School of Management, Northwestern University, 8/31/2000

• US-Israel Binational Science Foundation Grant 2022020 "Robust contracting and voluntary disclosure" (joint with Eran Hanany, Tel Aviv University) $118,000., US-Israel Binational Science Foundation, October 2023-2027
• US-Israel Binational Science Foundation Grant 2014350 "Dynamic Games with Ambiguity" (joint with Eran Hanany, Tel Aviv University), US-Israel Binational Science Foundation, Oct 2015-2022
• Visiting Fellow, ZiF (Center for Interdisciplinary Research), Bielefeld University, March-June 2015
• Kellogg Chairs' Core Course Teaching Award, Kellogg School of Management, 2013-2014
• Invited Visiting Professor of Economics, University of Paris I and University of Cergy-Pontoise, June 2013
• US-Israel Binational Science Foundation Grant 2006264 "Updating Preferences under Ambiguity" (joint with Eran Hanany), US-Israel Binational Science Foundation, October 2007-October 2012
• Kellogg Chairs' Core Course Teaching Award, Kellogg School of Management, 2006-2007
• Invited Visiting Professor of Economics, University of Paris I, October 2003
• Kellogg Chairs' Core Course Teaching Award, Kellogg School of Management, 1997-1998

Competitive strategy, managerial statistics, decision theory, microeconomics 

Research in Economics (MECS-560-3)
This course introduces first-year PhD students to the economics research environment. With an emphasis on breadth, and minimal prerequisite knowledge at the graduate level, students are exposed to the process of forming and answering research questions. The course involves multiple faculty providing their perspective on successful approaches to research by highlighting significant recent works in their respective fields of interest.

Economic Theory I: Decision Theory (MECS-550-1)
This course focuses on decision theory and formal theories of individual decision making, with emphasis on decision making under risk/uncertainty. We explore utility theory under certainty, then classic expected utility theories. Following is a review a selection expanding on the classical work in various directions, closer to the current research frontier. The selection covered may vary with available time/interests.

Economics of Competition (MECNX-441-0)
Economics of Competition prepares students to diagnose the determinants of an industry’s structure and formulate rational, competitive strategies for coping with that structure.

Business Analytics II (DECS-431-0)

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.