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This course will provide an overview of recent advances in, and applications of, dynamic oligopoly models in I.O. We will start by introducing a simple framework for dynamic oligopoly in the context of a dynamic investment model. We will move on to other applications and extensions of the framework, including dynamic entry models and dynamic mergers, with a discussion of antitrust issues. We will cover an empirical model of dynamic network adoption and participation. We will learn alternative econometric approaches to the identification and estimation of dynamic oligopoly models, including a discussion of serially correlated unobserved shocks. Finally, we will discuss methods for computing counterfactuals and welfare, and then speculate about some unresolved issues and the potential for future work in this area.

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How does Uber match drivers to passengers? How does Airbnb select the set of listings to show to a guest in a search? How does eBay manage trust and reputation between buyers and sellers? How does Google optimize auctions for billions of dollars' worth of online advertising? This course focuses on analytics and data science tools used to address these and other challenges encountered in the most exciting online marketplaces in the world. With hands-on exercises we will open and understand the "black-box" of online marketplaces' operations. We will cover application areas such as transportation, rentals, sharing, e-commerce, labor markets, and advertising, leveraging tools from D&D, OSM, and Microeconomics. Overall, the course will provide business knowledge for future investors, product managers, sales and marketing managers, operation managers, and anyone interested on online marketplaces. This is the accelerated version of and knowledge from D&D and OSM is expected at the accelerated (or advanced) level.

How does Uber match drivers to passengers? How does Airbnb select the set of listings to show to a guest in a search? How does eBay manage trust and reputation between buyers and sellers? How does Google optimize auctions for billions of dollars' worth of online advertising? This course focuses on the basic analytic and data science tools used to address these and other challenges encountered in the most exciting online marketplaces in the world. With hands-on exercises we will open and understand the "black-box" of online marketplaces' operations. We will cover application areas such as transportation, rentals, sharing, e-commerce, labor markets, and advertising, leveraging tools from D&D, OSM, and Microeconomics (all base). Overall, the course will provide basic business knowledge for future investors, product managers, sales and marketing managers, operation managers, and anyone interested on online marketplaces.

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This course develops tools from information economics to study the strategic interactions between agents inside a firm and between firm insiders and market participants. Common to these studies is that agents acquire private information that is valuable to other parties. The range of applications includes: the structure of managerial performance measures, buyer-supplier contracting arrangements, earnings management, voluntary and mandatory disclosure and financial analysts.

This course develops tools from information economics to study the strategic interactions between different agents inside a firm. Common to these studies is that agents acquire private information that is valuable to other parties. The range of applications includes: the structure of managerial performance measures, capital budgeting, intra-company pricing, discretionary bonus pools, the role of non-financial performance indicators and earnings management.

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