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Baranov, Oleg

Assistant Professor

Positions

Research Areas research areas

Research

research overview

  • Dr. Baranov's research is focused on theory and applications of the auction theory. A novel component of his work is a study of performance properties of the known auctions and developing new auction designs in the environments with complementarities.

keywords

  • Auction Theory, Market Design, Microeconomics, Computational Economics

Publications

selected publications

Teaching

courses taught

  • ECON 4050 - Market Design
    Primary Instructor - Spring 2018 / Summer 2018 / Fall 2018 / Spring 2019 / Spring 2020 / Fall 2020 / Spring 2021 / Fall 2021 / Spring 2022 / Summer 2022
    Develops foundations for the modern market design practices. Economists are increasingly involved in studying and designing practical market mechanisms. Includes topics such as designing efficient matching markets (students to schools, doctors to hospitals), designing auction mechanisms (Google, Facebook, government) and designing market platforms (eBay, Amazon).
  • ECON 4070 - Topics in Microeconomics
    Primary Instructor - Spring 2020
    Studies utility maximization under uncertainty, risk, game theory, moral hazard, and adverse selection. Applications include insurance markets and the theory of contracts.
  • ECON 4939 - Internship/Seminar
    Primary Instructor - Summer 2019
    Offers students the opportunity to integrate theoretical concepts of economics with practical experience in economics-related institutions. The theoretical portion arises from seminars and readings, the practical from activities in organizations related to the economics field. A maximum of 3 credit hours counts toward major requirements. Department consent required.
  • ECON 7030 - Microeconomic Theory 2
    Primary Instructor - Spring 2018 / Spring 2019 / Spring 2020 / Spring 2021 / Spring 2022
    Continuation of ECON 7010. Develops mathematical foundations of game theory and models of asymmetric information. Analyzes classical game-theoretic settings using analytical optimization techniques with emphasis on methodology, equilibrium concepts, theory of adverse selection and moral hazard, and principal-agent framework. Instructor consent required.

Background

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