Georgy Egorov
James Farley/Booz, Allen & Hamilton Research Professor
Professor of Managerial Economics & Decision Sciences
Director, Ford Center
Georgy Egorov joined the Kellogg faculty in 2009 after receiving his PhD in Economics from Harvard University. His research interests include political economy of democracies and non-democracies, dynamics of institutions, culture, and topics in economic theory. He is currently working on questions related to weak institutions and their dynamics, interaction between market and non-market actors in business environments, and social image considerations in strategic decisions. Professor Egorov's papers have been published in leading journals, including Econometrica, American Economic Review, Quarterly Journal of Economics, Journal of Political Economy, Review of Economic Studies, and American Political Science Review.
- Political economy; Economic theory; Game theory
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PhD, 2009, Economics, Harvard University
MA, 2008, Economics, Harvard University
MA, 2003, Economics, New Economic School, Moscow, cum laude
MS, 2001, Mathematics, Department of Mechanics and Mathematics, Moscow State University, summa cum laude -
Professor, Managerial Economics and Decisions Sciences, Kellogg School of Mangement, Northwestern University, 2018-present
Associate Professor, Managerial Economics and Decision Sciences, Kellogg School of Management, Northwestern University, 2013-2018
Faculty Research Fellow, National Bureau of Economic Research, 2010-present
Assistant Professor, Managerial Economics & Decision Sciences, Kellogg School of Management, Northwestern University, 2010-2013
Senior Lecturer & Jacobs Scholar, Kellogg School of Management, Northwestern University, 2009-2010 -
The Ronald Coase Institute Award for Outstanding Achievement, The Ronald Coase Institute
Chairs’ Core Course Teaching Award, Kellogg School of Management
Social Choice and Welfare Prize, Social Choice and Welfare Society
Social Choice and Welfare Prize, Social Choice and Welfare Society -
Associate Editor, American Economic Review, 2019
Associate Editor, Journal of Theoretical Politics, 2018
Associate Editor, Review of Economic Design, 2015
Editorial Board, Economics and Mathematical Methods, 2011-Present
Research in Economics (MECS-560-3)
This course introduces first-year PhD students to the economics research environment. With an emphasis on breadth, and minimal prerequisite knowledge at the graduate level, students are exposed to the process of forming and answering research questions. The course involves multiple faculty providing their perspective on successful approaches to research by highlighting significant recent works in their respective fields of interest.
Political Economy III: Social Choice and Voting Models (MECS-540-3)
This course is about aspects of collective decision-making, both on the micro level and macro level. We briefly review some classic results from social choice, then strategic behavior in collective decision-making. The next topic is a discussion of all aspects of elections, ending with analysis of institutions. We study models of forward-looking behavior in collective decision-making and dynamics of institutions.
Microeconomic Analysis (MECNM-430-0)
Pricing Strategies (MECN-446-0)
This is a "full-stack" course on pricing strategy, ranging from the nitty-gritty data science and computational aspects of "finding the right price" to the high-level qualitative strategy issues related to pricing decisions. The course has two goals: to learn how to measure and leverage pricing power, and to learn how to think about pricing strategy beyond merely posting a price. We will study (i) how pricing interacts with other aspects of strategy, (ii) the barriers to implementing particular pricing strategies; and (iii) how to price through different selling mechanisms, such as auctions. We do this through a mixture of lectures, case discussion, modeling/analysis, and guest lectures from practitioners at the top of their fields. Key topics include 1) the design of pricing schemes that segment the market, such as product bundling and nonlinear pricing; 2) data science techniques of special relevance to pricing; 3) antitrust issues; and 4) the use of auctions as a pricing strategy, with a special focus on online ad auctions of the kind run in Facebook’s Newsfeed and Google Search. There are six homework assignments and a final exam. The assignments are both individual and group-based, and involve significant use of Excel. Students will learn to use Solver and simulation tools in Excel and how to use key regression/data science techniques that arise in pricing practice.
Microeconomic Analysis (MECN-430-0)
1Ys: This course is either waived during the admissions process or completed during the Summer term. 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.
