47-757 Empirical IO

6 units, Carnegie Mellon University

This course focuses on empirical structural models and their applications in Marketing, Economics, and Information Systems. The goal is to help students build up necessary toolkits and provide handson experience of applying structural models to empirical researches by combining theories, numerical methods, and applications. The topics that will be covered include static discrete choice models, demand estimation using aggregate data BLP, singleagent dynamic discrete choice models, static and dynamic discrete games, and their applications including storable good and durable good demand, price discrimination, product innovation, and twosided platforms. The course will also discuss research methodologies related to computational methods e.g., function approximation, numerical integration and econometric analysis. The techniques can be applied to Marketing, Economics IO, Public, and Labor and Information Systems.

Prerequisites: none listed

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