1 - 10 of 41 results for: MGTECON

MGTECON 200 is a base-level course in microeconomics. It covers microeconomic concepts relevant to management, including the economics of relationships, pricing decisions, perfect competition and the "invisible hand," risk aversion and risk sharing, and moral hazard and adverse selection. The class is in "flipped classroom" format, where students will be expected to work through the online modules before each class and the time in class will be devoted to solving problems and discussing cases.

MGTECON 203 is the more quantitative version of MGTECON 200. It uses math tools such as derivatives and algebra to explain economics concepts. No previous knowledge of economics is assumed. The class covers key ideas in economics relating to topics such as game theory, dynamic cooperation, pricing, market power, competitive equilibrium, moral hazard, adverse selection, externalities, risk aversion, and auction theory. The goal of the class is to develop a collection of analytical tools that enable one to analyze a wide variety of economic problems and business strategies.

The core microeconomics course is challenging and covers important economic concepts, including pricing decisions, perfect competition and the 'invisible hand,' organization economics, risk aversion and risk sharing, and moral hazard and adverse selection. The class follows a "flipped classroom" format, where students will be expected to work through the online modules before each class, and the time in class will be devoted to solving problems and discussing cases. If you have never studied microeconomics at all, it is a good idea to read a principles-level book before arriving at the GSB. You may want to consider reviewing two specific lessons available from the Khan Academy: 'Supply, Demand, and Market Equilibrium' and 'Elasticity.' These lessons are valuable background, but not indicative of the course you will take, which will focus on topics relevant to management.

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.

This class will analyze the growth in inequality in the US over the last several decades and how that trend is likely to continue or change in the future. We will ask if and how public policy can affect inequality. We will also focus on business's role -- what are the responsibilities of private sector companies, how does inequality affect them, and how should the growth in inequality affect their strategies? We will look at inequality in income, some of its potential sources, and its effects in other areas. Specifically, we will look at education, housing, the social safety net, migration, and the job market. The class will be very interactive and will be based on readings drawn from academic research, case studies, news, and opinion readings. We will also have guest speakers from industry, government, and non-profits. The class will be co-taught by a GSB labor economist and an advisor to policy makers with decades of business experience.LOGISTICAL NOTE: During the week of May 13, the class will not meet during the regular time slots. Instead, there will be a mandatory, all-day class field trip to explore inequality issues in depth and in person on Wednesday, May 15. If you have an academic-related reason you cannot make the trip, we will assign alternative work. However, the trip is required unless you have a conflicting class or academic obligation.

This course analyzes business decisions in current and historical cases from the media, entertainment, and communications sector. Topics include (1) pricing, bundling and tiering of media products, (2) horizontal and vertical integration of content, distribution, and hardware, (3) selling and buying advertising, (4) choosing between subscription-funded, advertising-funded, or mixed revenue models, (5) negotiations between content and distribution, (6) antitrust in media and technology, (7) the effect of technology on the news media business, (8) the labor market for entertainment stars, (9) competition and regulation in communications infrastructure, (10) strategy in spectrum auctions, and more. There is an emphasis on combining concepts from economics and statistics with institutional knowledge about the sector. The course format is case discussion, guest speakers from the industry, and discussion of concepts from economics and statistics. Evaluation is based on class participation, completion of reading and written assignments, and a final paper.

This course provides the legal, institutional, and economic background necessary to understand the financing and production of health services in the US. Potential topics include: health reform, health insurance (Medicare and Medicaid, employer-sponsored insurance, the uninsured), medical malpractice and quality regulation, pharmaceuticals, the corporate practice of medicine, regulation of fraud and abuse, and international comparisons.

Are you interested in clean tech and sustainability? Do you like working with data or plan to manage data scientists? Do you want to find a socially impactful job? If so, Data Science for Environmental Business is for you. Each week, we'll have a guest speaker from a utility, venture capital firm, clean tech startup, renewable energy developer, or some other sustainability-related business. We'll do a quantitative case study of one of the speaker's business problems, such as carbon footprint measurement, supply chain decarbonization, techno-economic analysis, where to site renewable energy facilities, how to value electricity storage, or predicting demand for electric vehicles. Then in the next class, we'll discuss the analytical decisions you made on the case study and the business implications of your results. We aim to draw a mix of students from the GSB, engineering, sustainability, data science, computer science, economics, math, and other fields. Students registering through the GSB should expect roughly standard MBA class workload. Students registering through non-GSB course numbers should expect a serious data science course where you'll learn and apply new methods. We hope to develop a pipeline of students working for the guest speakers and similar firms.

This course is an Advanced Applications option in the Economics menu. The focus of the course is on pricing mechanisms and the design of marketplaces. The pricing component of the course will handle both traditional topics, such as price differentiation, and more modern ones, such as bundling and dynamic pricing. In the market design component of the course, we will consider such topics as auctions (e.g., designing auctions for selling online advertising slots) and matching (e.g., designing mechanisms for matching students to schools).