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Yaroslav Rosokha

Yaroslav Rosokha

Assistant Professor of Economics


Ph.D. Economics, The University of Texas
M.S. Economics, The University of Texas
M.S. Applied Mathematics, University of Houston
B.S. Mathematics, Economics, University of Houston


Journal Articles

  • Romero, J. & Rosokha, Y. (2019). The Evolution of Cooperation: The Role of Costly Strategy Adjustments. American Economic Journal: Microeconomics, vol. 11 (1), 299-328. | Related Website |
  • Romero, J. & Rosokha, Y. (2018). Constructing Strategies in the Indefinitely Repeated Prisoner's Dilemma. European Economic Review, vol. 104 185-219. | Related Website |
  • Shunko, M., Niederhoff, J., & Rosokha, Y. (2018). Humans Are Not Machines: The Behavioral Impact of Queueing Design on Service Time. Management Science, vol. 64 (1), 453-473. | Related Website |
  • Bansal, S., & Rosokha, Y. (2018). Impact of Compound and Reduced Specifications on Valuation of Projects with Multiple Risks. Decision Analysis, vol. 15 (1), 27-46. | Related Website |
  • Moreno, O.M., & Rosokha, Y. (2016). Learning under compound risk vs. learning under ambiguity – an experiment. Journal of Risk and Uncertainty, vol. 53 (2-3), 137-162. | Related Website |

Working Papers

  • Rosokha, Y., & Sheh C. Uncertainty about Informed Trading in Dealer Markets - An Experiment. | Related Website |
  • Kannan, K., Pamuru Subramanya, V. & Rosokha. Y. Using Machine Learning for Modeling Human Behavior and Analyzing Friction in Generalized Second Price Auctions. | Related Website |
  • line of people

    In the Queue

    We’ve all been there — stuck in line at a bank, retail store, service center or event. Although numerous studies suggest that single queue lines are faster, new research coauthored by Krannert operations and economics professor Yaroslav Rosokha finds that servers work more slowly in a single queue than when they each have their own queue.

    Full story: In the Queue

  • ECON 451 - This course will introduce upper-level undergraduates to game theory, which is now a vital methodology in many disciplines, including economics, political science, biology, computer science, and engineering. You will learn to analyze decision making in situations in which the outcome depends on the actions of multiple decision-makers (people, firms, governments, etc.). The class will include a number of experiments. The goal of the experiments is to encourage you to actively participate in your learning, and to provide hands-on experience. (Fall 2019)
  • ECON 471 - In this course, you will learn about behavioral biases that arise at the individual level, such as when a decision is made under risk and behavioral biases that arise when decisions are made in a multiple agent setting, such as auctions and markets. You will also learn about the perspective provided by economic analysis in social exchanges that involve bargaining, trust, and about social dilemmas that arise when people try to provide public goods voluntarily. The course studies economic behavior through the methodology of experimental economics and will include a number of experiments on each week’s topic. You will then write a lab report based on the experiment data. The goal of the experiments and the lab reports is to encourage you to actively participate in your learning, and to provide hands-on experience with modern scientific methodology in the social sciences. (Fall 2016)

Phone: (765) 49-63668
Office: KRAN 405

Quick links

Personal website

Area(s) of Expertise

Experimental Economics, Behavioral Economics, Game Theory, Behavioral Operations Management, Agent-based Models