MGTECON 634, Machine Learning and Causal Inference. Course Outline. This course will cover statistical methods based on the machine learning literature that can be used for causal inference. In economics and the social sciences more broadly, empirical analyses typically estimate the effects of counterfactual policies, such as the effect of implementing a government policy, changing a price, showing advertisements, or introducing new products. Recent advances in supervised and unsupervised machine learning provide systematic approaches to model selection and prediction, methods that are particularly well suited to datasets with many observations and/or many covariates. Spring 2016
MGTECON 513, Platform Competition in Digital Markets. Course Outline. This class will analyze the economics of digital platform markets. The class format will consist of lectures, guest speakers, and student presentations. Concepts will be presented in the context of leading examples of internet and technology platforms such as online advertising, computing technology platforms (e.g. mobile), marketplaces, social networks, cloud computing, and financial technology platforms.
STRAMGT 517, Topics in Digital Business. Course Outline.This class will guide students through in-depth research projects focusing on specific case studies of digital businesses, where students select topics individually or in teams. The research projects must be framed using principles from economics and strategy. Winter 2015
STRAMGT 518, Advertising and Monetization. Course Outline. The Global advertising market is forecast to top $600 Billion in 2016, with advances in advertising technology, such as online publishing, digital and mobile advertising platforms, as well as new ways of consuming video content, driving a rapid evolution of the market. We analyze this evolution from the perspective of three main constituents: 1) Marketers who rely on advertising to launch and sustain product sales, 2) Publishers and media owners for whom advertising often represents the largest source of monetization, and 3) Advertising agencies who design, plan and buy media for advertising campaigns. Spring 2016
STRAMGT 538, Financial Technologies. Course Outline. This class will provide an overview of the rapidly evolving world of financial technologies. New market entrants are promising to change the way we borrow, save, invest, and transact. Incumbents enjoy substantial market power but are struggling to keep up technologically as they wrestle with antiquated core infrastructure. We will analyze the emerging competitive landscape and the strategic dynamics in play. Spring 2016
STRAMGT 588, Leading Organizations. Course Outline. This course studies principles for leading organizations and creating business value from the perspective of a high-level executive. Topics include product development, business models and pricing, people management, time allocation, measurement and accountability, creative destruction, the development of new capabilities, and marketing. Co-Instructor: Steve Ballmer. Fall 2014-15
Prior Years' Courses
Economics 1056 (Harvard), Market Design (Advanced Undergraduate Course). Studies topics in market design, focusing on auctions, auction-based marketplaces and platform markets. Theory and applications.
Economics 2056b (Harvard), Market Design (Graduate Elective). Studies topics in market design, focusing on auctions, auction-based marketplaces and platform markets. Covers methods and results from theory, empirical work, econometrics and experiments, highlighting practical issues in real-world design.
Economics 289, Advanced Topics in Game Theory and Information Economics
Economics 157 (Stanford), Imperfect Competition
Economics 257 (Stanford), The Economics of Industry, Regulation, and Firm Organizations I (with Liran Einav)
Economics 257 (Stanford), The Economics of Industry, Regulation, and Firm Organizations I (with Pat Bajari)
MIT 14.121 Microeconomic Theory I (graduate)
MIT 14.129 Contract Theory (graduate)
MIT 14.03 Intermediate Applied Microeconomics (undergraduate)