Don Dale is a Clinical Associate Professor of Managerial Economics & Decision Sciences at the Kellogg School of Management at Northwestern University. He holds a BS in economics and a BA in physics from the University of Delaware, and a PhD in economics from Princeton University. Prior to joining Kellogg in 2015, Don was a tenured professor of economics and finance at Muhlenberg College in Allentown PA. Don has also held a position at the Woodrow Wilson School of Public and International Affairs at Princeton University. Don teaches a portfolio of courses in microeconomic theory, s and game theory. His research interests are primarily experimental in methodology, and focus on questions of responses to incentives, charitable giving, and gambling behavior.
For practitioners and academics in science and engineering, this highly focused program provides a solid grounding in business concepts, industry-specific tools and practical frameworks for developing the business acumen you need to advance your life’s work.
**This course was formerly known as DECS-452-0**Decision makers face two types of uncertainty: uncertainty about the state of nature (how much oil is on a tract of land) and uncertainty about the strategic behavior of other decision makers (what pricing strategy a competitor will follow). This course focuses on strategic uncertainty and the uses decision makers can make of the concepts of game theory to guide their decisions. Topics include bargaining and arbitration, collusion and competition, joint cost allocation, market entry and product differentiation, and competitive bidding. Role-playing exercises and case analysis are used.
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.