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1 - 10 of 36 results for: MGTECON

MGTECON 200: Managerial Economics

This course covers microeconomic concepts relevant to managerial decision making. Topics include: demand and supply analysis; consumer demand theory; production theory; price discrimination; perfect competition; partial equilibrium welfare analysis; externalities and public goods; risk aversion and risk sharing; hidden information and signaling; moral hazard and incentives; game theory; oligopoly; and transaction cost economics.
Units: 4 | Grading: GSB Letter Graded

MGTECON 209: MSx: Economics

This course is an introduction to Microeconomics, focusing on microeconomic concepts relevant to managerial decision making. Topics include demand and supply, cost structure, price discrimination, perfect competition, externalities, and the basics of game theory. No prior Economics background is required but students who have not had courses in this area (or not had one in a very long time) may want to brush up on math prior to the start of classes.
Units: 3 | Grading: GSB Letter Graded
Instructors: Oyer, P. (PI)

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.
Units: 4 | Grading: GSB Letter Graded

MGTECON 330: Economics of Organization

This is an advanced applications economics course that applies recent innovations and high-powered tools to organization and general management. MBA1 students must have a strong background in microeconomics to take the course and should consult with their advisors. The course is appropriate for MBA2 students who have taken either Mgtecon 200 or Mgtecon 203. The course objective is to equip managers with an extensive set of analytical and applicable tools for handling the following topics: organization for coordination, designing incentives for moral hazard, monitoring and private information, applications to scope, scale, global management and mergers, principles for allocating decision power, managing supplier relations, downstream controls, franchising and alliances, bargaining, high order reasoning, repeated interactions and reputation, holdups and strategizing with unawareness. These topics will be covered in a combination of lectures and cases.
Units: 4 | Grading: GSB Letter Graded
Instructors: Feinberg, Y. (PI)

MGTECON 343: The Financial Crisis

This class will focus on the evolution of the financial crisis and the implications for the future of financial markets and the economy. Part of the course will concern the history of the financial crisis, from 2008-12, including policy responses. The rest will focus on current events. There will be a number of guest speakers, either live or by Skype. Last year's list included Tanya Beder, John Geanakoplos, Bob Joss, Tom Kempner, Ken Rogoff, Larry Summers, Kevin Warsh, and Nancy Zimmerman. Myron Scholes participated in about half the classes. I assume that this year there will be a similar but not identical list.
Units: 4 | Grading: GSB Letter Graded

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.
Units: 2 | Grading: GSB Student Option LTR/PF
Instructors: Athey, S. (PI)

MGTECON 601: Microeconomic Analysis II

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.
Units: 4 | Grading: GSB Letter Graded
Instructors: Wilson, R. (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.
Units: 4 | Grading: GSB Letter Graded
Instructors: Imbens, G. (PI)

MGTECON 605: Econometric Methods III

This course completes the first-year sequence in econometrics. The course develops nonlinear models in more detail, as well as methods used to estimate nonlinear models, including maximum likelihood and moment-based estimators such as GMM. The instructor will discuss both theoretical properties of these estimators and how they are used in practice. Computational challenges and issues are explored in detail. Depending on student and instructor interest, we will consider advanced topics and applications, including: semiparametric, nonparametric, and simulation estimators.
Units: 2 | Grading: GSB Letter Graded
Instructors: Reiss, P. (PI)

MGTECON 608: Multiperson Decision Theory

Students and faculty review and present recent research papers on basic theories and economic applications of decision theory, game theory and mechanism design. Applications include market design and analyses of incentives and strategic behavior in markets, and selected topics such as auctions, bargaining, contracting, signaling, and computation.
Units: 4 | Grading: GSB Pass/Fail
Instructors: Wilson, R. (PI)
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