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This is a course on methods for causal inference in statistics, with a particular focus on the use of randomized experiments and observational studies for making decisions under uncertainty. We will discuss some of the statistical methods, implementing them in R. No prior knowledge of R is required. We will discuss a number of detailed applications.nn

This class will explore the economics of the internet search business. The class will consist of lectures, guest speakers, and short student presentations. The course will begin with an overview of internet search, including the technology and engineering as well as the role of search for consumers, in society and the internet industry. We will then study search as a platform market, considering the interaction between the different sides of the market (users, advertisers, and publishers) as well as competition across platforms on different sides of the market. The advertising marketplace will receive special focus, including the design of the auction. We will also study the role of search in the internet ecosystem, examining recent trends towards vertical integration and its impact on the development of independent internet products and services. Finally we will address search as a data-driven business. Throughout, the course will draw parallels to other internet platform businesses, using search as an in-depth case study through which broader themes can be understood.