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Professor Tamayo’s research focuses on theoretical modeling and structural estimation in firm decision-making and productivity. He studies dynamic competition in customer membership, particularly how firms implement membership models to charge fees that allow consumers to purchase products and services at a unit price over multiple periods. His work examines price discrimination practices employed by firms like Amazon and DirecTV toward new and old customers. Additionally, Professor Tamayo investigates the factors leading to variations in labor productivity among firms and how managers can effectively address these issues. His research employs daily, line-level production data from garment factories in India to assess managerial quality's impact on productivity using several distinct dimensions such as tenure, cognitive skills, and relational abilities. He has developed counterfactual simulations that provide insights into effective hiring and training policies, emphasizing the importance of psychometric measurement in improving productivity. He was awarded the 2023 HBR Prize for his article "Reskilling Age AI" published in the Harvard Business Review.
Harvard Business School • Cambridge, MA
Teaches strategy course in the MBA required curriculum, focusing on firm decision-making and productivity.
The PhD in Business Administration is the primary doctoral degree encompassing various areas of study including Business Economics, Accounting, and Strategy.