Sorin Maruster
Sorin Maruster

Lecturer of Managerial Economics & Decision Sciences

Print Overview
Sorin Maruster is a Lecturer of Managerial Economics and Decision Sciences. A member of the Department of Economics since 2002, he conducts research in the areas of transfer pricing, corporate finance and mechanism design. He teaches microeconomics.

Sorin received his Master of Arts in economics from Northwestern University and is currently finishing his PhD in economics.
Print Vita
MA, 2004, Economics, Northwestern University
BSc, 1999, Mathematical Economics, Academy of Economic Studies, Bucharest, Romania
PhD candidate, Economics, Northwestern University

Academic Positions
Lecturer, Managerial Economics & Decision Sciences, Kellogg School of Management, Northwestern University, 2011-present
Instructor of Economics, Department of Economics and School of Continuing Studies, Northwestern University, 2006-present

Print Research
Research Interests
Industrial organization, corporate finance, mechanism design

Working Papers
Maruster, Sorin. 2010. Optimal Information Sharing in Multinational Companies with Differential Taxes.
Maruster, Sorin. 2009. Export, FDI and Vertical Integration with Heterogeneous Firms.
Maruster, Sorin. 2006. The Choice Between Informed and Arm’s-Length Investors.

Print Teaching
Full-Time / Part-Time MBA
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 managerially relevant applications, cases and interpretations.

Decision Making Under Uncertainty (DECS-433-0)

This course counts toward the following majors: Decision Sciences.

Provides frameworks for reasoning about decisions in uncertain environments. Case studies and experiments are used to motivate the importance of probabilistic reasoning to avoid the systematic biases that cloud managers' decision making. Formal probabilistic tools are introduced and their relevance to modern business issues is conveyed via cases, exercises, and class experiments. Some of the applications include: inventory management with uncertain demand, principal-agent models, herd behavior, selection bias, rare events, real options and risk. The course is self-contained, and should be of value to all students, including those with prior exposure to formal probability models.

Microeconomic Analysis (MECN-430-0)

This course counts toward the following majors: Managerial Economics.

Among the topics this core course addresses are economic analysis and optimal decisions, consumer choice and the demand for products, production functions and cost curves, market structures and strategic interactions, and pricing and non-price concepts. Cases and problems are used to understand economic tools and their potential for solving real-world problems.