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1 - 10 of 13 results for: MGTECON

MGTECON 332: Analysis of Costs, Risks, and Benefits of Health Care

For graduate students. The principal evaluative techniques for health care, including utility assessment, cost-effectiveness analysis, cost-benefit analysis, and decision analysis. Emphasis is on the practical application of these techniques. Group project presented at end of quarter. Guest lectures by experts from the medical school, pharmaceutical industry, health care plans, and government.
Terms: Aut | Units: 4

MGTECON 512: The Economics of Internet Search

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.
Terms: Aut | Units: 2
Instructors: Athey, S. (PI)

MGTECON 513: Platform Competition in Digital Markets

This class will analyze the economics of internet platform markets. The class format will consist of lectures, guest speakers, and student presentations. The course will begin with economic definitions of platform markets, and it will review the most important insights from recent economic theory. 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 vertical integration and exclusive deals, and it will touch on antitrust considerations. Special topics that may be covered according to class interest include the issues that arise when taking a data-driven approach to managing a platform business; the economics of the media, particularly news; regulatory issues such as privacy, intellectual property, and antitrust. Student presentations and guest speakers will consider case studies of particular platform businesses, such as auction markets for goods and services, internet retail, online advertising, social networks, the news media, technology platforms such as personal computers, mobile devices, and cloud computing.
Terms: Aut | Units: 2
Instructors: Athey, S. (PI)

MGTECON 600: Microeconomic Analysis I

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.nnnStudents interested in this course should consult the instructor by email: kreps@stanford.edu
Terms: Aut | Units: 4
Instructors: Kreps, D. (PI)

MGTECON 603: Econometric Methods I

This is the first course in the sequence in graduate econometrics. The course covers some of the probabilistic and statistical underpinnings of econometrics, and explore in depth the large-sample properties of maximum likelihood estimators. You are assumed to have introductory probability and statistics and matrix theory, and to have exposure 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, and maximum likelihood estimation.
Terms: Aut | Units: 4
Instructors: Imbens, G. (PI)

MGTECON 606: Microeconomic Theory for Non-Economist PhDs

This course will be a first quarter PhD course in microeconomic theory, aimed at PhD students who do not plan to become professional economists. Relative to a course geared to economics PhDs the class will differ in two important ways. First, there will be almost no emphasis on proofs. Second, the topics covered will be broader than the standard set covered in say Econ 202.
Terms: Aut | Units: 4
Instructors: Bulow, J. (PI)

MGTECON 610: Macroeconomics

This course covers various topics in macroeconomics and is designed to expose students to macroeconomic methods, classic papers in the field, and the latest research at the frontier. The current focus is on economic growth. Using theoretical and empirical tools, we consider questions like: How do we understand long-run growth in per capita income? Why are some countries so much richer than others? Other topics include misallocation as a source of TFP differences, the direction of technical change, growth and the environment, the rise in health spending, patenting, and international trade.nnnThis course satisfies the GSB PhD macro requirement.
Terms: Aut | Units: 4
Instructors: Jones, C. (PI)

MGTECON 628: Reading Group in Industrial Organization

This course meets weekly on Tuesdays at Noon. The primary purpose of the course is to read and discuss current working papers in Industrial Organization and related fields (e.g., Econometrics, Marketing, and Labor). Students are required to present papers at least once per year and both students and faculty may also present their own working papers.
Terms: Aut, Win, Spr | Units: 1 | Repeatable 9 times (up to 9 units total)
Instructors: Benkard, L. (PI)

MGTECON 629: Microeconomics Workshop

Each week, a different economics faculty member will discuss his or her important and /or current research. The course is an important introduction to PhD level research topics and techniques. Attendance is mandatory.
Terms: Aut, Win | Units: 3 | Repeatable 10 times (up to 30 units total)
Instructors: Shaw, K. (PI)

MGTECON 640: Quantitative Methods for Empirical Research

This is an advanced course on quantitative methods for empirical research. Students are expected to have taken a course in linear models before. In this course I will discuss modern econometric methods for nonlinear models, including maximum likelihood and generalized method of moments. The emphasis will be on how these methods are used in sophisticated empirical work in social sciences. Special topics include discrete choice models and methods for estimating treatment effects.
Terms: Aut | Units: 3
Instructors: Imbens, G. (PI)
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