11 - 20 of 37 results for: MGTECON

This course discusses the financial crisis of 2008-9, developments since that time, and the future of finance. We consider how regulation, technology, and the changing world economy will create challenges and opportunities. We have guest speakers for about half of the classes. The list changes from year to year, but 2013's speakers included Tanya Beder, Sue Decker, Jacob Goldfield, Tom Kempner, Ana Marshall, Vincent Reinhart, Larry Summers, and Kevin Warsh.

Economic issues permeate all that happens in government. This topics-based course will exam a variety of historic and current issues on the political agenda where economics is central to decision making. It is taught by faculty who served at the White House in either the Clinton or George W. Bush Administration.

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. The course will begin with economic definitions of platform markets, and it will review the most important insights from recent research in economic theory and strategy. It will then consider the role of scale economies and network effects in determining the dynamics of platform competition and long-run industry structure. Next, the class will consider key strategic decisions for firms, including entry strategies, vertical integration and exclusive deals.

Most statistical questions involving data ultimately are about causal effects. What is the effect of changing prices on demand? What is the effect of an advertising campaign on demand. In this course we discuss statistical methods for analyzing causal effects. We look at the analysis and design of randomized experiments. We also look at various methods that have been used to establish causal effects in observational studies. Students will develop the skills to assess causal claims and learn to ask the right questions and evaluate statistical analyses. You will carry out research projects and work with statistical software.

This economic policy compressed course will briefly examine a variety of government policies and how each influences technology, innovation, and entrepreneurship. We will examine a range of policy topics from the perspectives of both policymakers and the firms affected by these policies. Possible topics (subject to change) include: high-skilled immigration, the taxation of carried interest, net neutrality, carbon pricing, data privacy, global democracy / censorship, new drug/medical device approval, online education, and encryption. The course is aimed primarily at helping those interested in technology, entrepreneurial, or finance roles understand how policymakers think about and make decisions that affect these sectors. The course is taught by a former senior White House economic advisor to President George W. Bush.

This course provides an introduction to the foundations of modern microeconomic theory. Topics include choice theory, with and without uncertainty, consumer and producer theory, dynamic choice and dynamic programming, social choice and efficiency, and fundamentals of general equilibrium.nnStudents interested in this course should consult the instructor by email: kreps@stanford.edu

This course studies the roles of information, incentives and strategic behavior in markets. The rudiments of game theory are developed and applied to selected topics regarding auctions, bargaining, and firms' competitive strategies; information economics; and contracting and market design.

This course covers auction theory, matching, and related parts of the literature on bargaining and pricing. Key papers in the early part of the course are Myerson and Satterthwaite on bargaining, Myerson on optimal auctions, and Milgrom and Weber's classic work. We then turn to markets in which complicated preferences and constraints, limitations on the use of cash, or variations in contract details among bidders play an important role. Emphasis is on matching markets such as the National Resident Matching Program and asset auctions such as the spectrum auctions.

This is the first course in the sequence in graduate econometrics. The course covers some of the probabilistic and statistical underpinnings of econometrics, and explores the large-sample properties of maximum likelihood estimators. You are assumed to have introductory probability and statistics and matrix theory, and to haveexposure to basic real analysis. Topics covered in the course include random variables, distribution functions, functions of random variables,expectations, conditional probabilities and Bayes' law, convergence and limit laws, hypothesis testing, confidence intervals, maximum likelihood estimation, and decision theory.