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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.

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 Advanced Application of Microeconomics course will study the labor market. The initial section, focused on organizations' personnel strategies will consider how labor markets differ from other goods and how to adopt classic supply/demand analysis to attract and motivate employees. The second portion of the course will provide insights into key public policy issues related to labor markets including drivers of inequality, minimum wages, labor market discrimination, and labor unions. The final set of classes will look at how trends in automation, demographics, and working from home are changing the labor market.

Businesses are increasingly expected to have a positive social impact, as evidenced by the rapid growth of impact investing. Yet, even as the impact investing market has taken off, impact measurement has lagged, undermining the credibility of the sector. Impact measurement is also critical to individual firms, not-for-profits and governments, as they face increased pressure to generate quantifiable results. How can we measure impact? What are some of the most effective frameworks, tools and approaches for impact measurement? How does one choose the most appropriate measurement tool based on factors such as the size, maturity and sector of an organization? Can impact be distilled down to a single monetary measure, such as a dollar? These and other questions will be explored in considerable depth, primarily through analysis and discussion of case studies. This course is a good match for students interested in impact measurement, impact investing, profit-with-purpose businesses or the role of business in society. The course will be taught by Matt Bannick, who led the impact investing firm, Omidyar Network, and served as the President of PayPal and of eBay International.

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.

Second course in the PhD sequence in econometrics at the Economics Department (as Econ 271) and at the GSB (as MGTECON 604). This course presents modern econometric methods with a focus on regression. Among the topics covered are: linear regression and its interpretation, robust inference, asymptotic theory for maximum-likelihood und other extremum estimators, generalized method of moments, Bayesian regression, high-dimensional and non-parametric regression, binary and multinomial discrete choice, resampling methods, linear time-series models, and state-space models. As a prerequisite, this course assumes working knowledge of probability theory and statistics as covered in Econ 270/ MGTECON 603.

This course covers foundational topics in microeconomic theory and is suitable for students who have completed the first year of their PhD studies and have taken a game theory or another advanced theory course. Sample topics include the notions of interactive knowledge and beliefs of economic agents, epistemics of solution concepts, strategies in continuous time and (adversarial) prediction testing. The course combines lectures with workshop sessions where students confront related research-type problems. Students are asked to present their original solutions to the class and are expected to participate in class discussions.

The goal of this course is to introduce students to frontier research in quantitative macroeconomics and finance with heterogeneous agents. We study models with imperfect financial markets and/or search frictions. We emphasize theory and numerical methods as well as tools to confront model predictions with both micro and macro data. Potential applications cover a wide range of topics in household finance, corporate finance and firm dynamics, asset pricing, housing and labor markets, business cycles and growth.