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1 - 10 of 12 results for: MGTECON

MGTECON 249: Smart Pricing and Market Design

This is the Advanced Applications option in the menu of courses that satisfy the Management Perspectives requirement in Optimization and Simulation Modeling (OSM). The course is tailored to students who already have command of basic optimization and simulation techniques, or have an advanced mathematical background that will allow them to catch up quickly. The focus of the course is on applying these techniques to a particular business domain: pricing mechanisms and market design. The pricing component of the course will handle both traditional topics, such as price differentiation, and more modern ones, such as dynamic pricing. In the market design component of the course, we will apply optimization and simulation techniques to such topics as auctions (e.g., designing auctions for selling online advertising slots) and matching (e.g., designing mechanisms for matching students to schools). No background in economics or in the pricing and market design topics mentioned above is required or expected.
Terms: Aut | Units: 2

MGTECON 300: Growth and Stabilization in the Global Economy

This course gives students the background they need to understand the broad movements in the global economy. Key topics include long-run economic growth, technological change, wage inequality, international trade, interest rates, inflation, exchange rates, and monetary policy. By the end of the course, students should be able to read and understand the discussions of economic issues in The Economist, the Wall Street Journal, the New York Times, or the Congressional Budget Office.
Terms: Aut, Win | Units: 4

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

For graduate students, and with permission of instructors, advanced undergraduates. This course provides the conceptual basis for understanding how to assess the effectiveness, costs, and cost effectiveness of health-care interventions. Students will gain an understanding of how to assess whether health-care interventions work, and if they work, whether they are worth what they cost. The course will cover principal evaluative techniques for health care, including, cost-effectiveness analysis, cost-benefit analysis, utility assessment, 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, entrepreneurs, pharmaceutical industry, and health care plans. The course content is relevant to researchers in health services and health policy, health-care managers, entrepreneurs, health-care consultants, and physicians.
Terms: Aut | Units: 4

MGTECON 513: Platform Competition in Digital Markets

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.
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.nnStudents interested in this course should consult the instructor by email: kreps@stanford.edu
Terms: Aut | Units: 4

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 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.
Terms: Aut | Units: 4
Instructors: Imbens, G. (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.nnThis 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 a couple of times per quarter and both students and faculty may also present their own working papers.
Terms: Aut, Win, Spr | Units: 1 | Repeatable 12 times (up to 12 units total)
Instructors: Benkard, L. (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)

MGTECON 691: PhD Directed Reading (ACCT 691, FINANCE 691, GSBGEN 691, HRMGT 691, MKTG 691, OB 691, OIT 691, POLECON 691, STRAMGT 691)

This course is offered for students requiring specialized training in an area not covered by existing courses. To register, a student must obtain permission from the faculty member who is willing to supervise the reading.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit
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