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Florian Herold
Florian Herold

MANAGERIAL ECONOMICS & DECISION SCIENCES
Assistant Professor of Managerial Economics and Decision Sciences

Print Overview
Florian Herold is Assistant Professor of Managerial Economics and Decision Sciences. Professor Herold joined the faculty at the Kellogg School of Management in 2005, after completing his PhD in economics (Dr. oec. pub.) at the University of Munich.  His research interests include evolutionary game theory, game theory in general, contract theory, and social networks. Professor Herold is currently working on the evolutionary foundation of social preferences. He is also working on the relation between trust and incomplete contracts. His most recent project is related to the strategic formation of social networks.


Areas of Expertise
Game Theory
Information Economics
Probability
Print Vita
Education
PhD, 2005, Economics, University of Munich
Diplom, 2000, Physics, University of Munich

Academic Positions
Assistant Professor, Kellogg School of Management, Northwestern University, 2005-present

 
Print Research
Research Interests
Game theory, evolution, contact theory, political economics, behavioral economics

Articles
Herold, Florian. Forthcoming. Contractual Incompleteness as a Signal of Trust. Games and Economic Behavior.
Herold, Florian and Christoph Kuzmics. Forthcoming. Evolutionary stability of discrimination under observability. Games and Economic Behavior.
Working Papers
Herold, Florian. Carrot or Stick: The Evolution of Reciprocal Preferences in a Haystack Model.
Boerner, Kira and Florian Herold. The Costs and Benefits of a Separation of Powers - an incomplete contracts approach.

 
Print Teaching
Teaching Interests
Mathematical methods for management decisions, contract theory, game theory, microeconomics, analysis
Full-Time / Part-Time MBA
Mathematical Methods For Management Decisions (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.

Doctoral
Foundations of Managerial Economics I: Game Theory (MECS-460-3)
This course covers conflict and cooperation among rational decision makers in economic, political and social systems. Topics include games in extensive, normal and characteristic function forms; Nash equilibrium and refinements; Bayesian games; infinitely repeated games; stochastic games; Nash bargaining solution; and cooperative games. The course is self-contained but closely coordinated with ECON-410-3. Prerequisite: Knowledge of probability theory and elementary linear algebra; simultaneous enrollment in ECON-410-3 or permission of the instructor.