Professor Chaves is an economist interested in the economics of information, market design, and political economy. He joined Kellogg in 2018 after receiving a Ph.D. in Economics from Stanford University and an A.B. magna cum laude in History from Harvard College. His recent research focuses on the suprising equilibrium impacts of market transparency: for example, how price transparency can help or hurt a party's bargaining power in negotiations depending on market fundamentals . His political economy work has studied, among other things, the persistence and effects of pre-colonial institutions on economic development in West Africa. His teaching interest is pricing strategy, with a special focus on auctions and revenue optimization.

• PhD, 2018, Economics, Stanford University
• AB, 2008, History, Harvard College, Magna Cum Laude

• Donald P. Jacobs Scholar, Kellogg School of Management, Northwestern University, 2018-present
• Assistant Professor, Managerial Economics and Decision Sciences, Kellogg School of Management, Northwestern University, 2018-present

• Referee, Journal of Economic Theory, 2022-
• Referee, Games and Economic Behavior, 2021-
• Referee, Management Science, 2021-
• Referee, Journal of Law, Economics, & Organization, 2020-
• Referee, Econometrica, 2020-
• Referee, Theoretical Economics, 2020-

Static Optimization in Economics (MECS-560-1)
This course provides essential tools for those planning to create or apply economic theory. The course can be divided very broadly into feasibility, optimization, and fixed-point theory. More specific topics include linear programming, Karush-Kuhn-Tucker conditions, Brouwer and Kakutani fixed-point theorems, and supermodularity, with illustrations of uses in finance, game theory, general equilibrium, and matching.

Pricing Strategies (MECN-446-0)
This course provides students with a comprehensive framework for formulating and implementing pricing strategies. Notable topics include 1) the design of pricing schemes that segment the market, such as peak-load pricing, product bundling, and nonlinear pricing; 2) vertical pricing problems (transfer pricing, pricing and distribution); 3) legal constraints on pricing; and 4) the use of auctions as a pricing strategy, with a special focus on online ad auctions. We will learn techniques and frameworks that take account the often imprecise and uncertain information to which management has access. We also discuss research methods that can complement managerial judgment and the importance of maintaining consistency with other elements of the marketing mix. The course has a mix of lectures and case discussions. There are several homework assignments and a final exam. The assignments are roughly weekly, both individual and group-based, and involve significant use of Excel. Students will learn to use Solver and simulation tools in Excel.