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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.

The objective of this course is to give students an understanding of what international economic policy means for business leaders. To do this, students will have to understand the economic forces that determine the patterns and consequences of international trade. We will analyze trade policy tools used by governments (e.g., tariffs, subsidies, quotas, exchange rates), and examine the role of industry and politics at the domestic and global level in applying these tools. This course will combine lecture, case studies and group interaction.

Economic issues permeate all that happens in government. This topics-based course will examine a variety of historic and current issues on the political agenda where economics is central to decision making. It is taught by faculty who served at the White House in either the Clinton or George W. Bush Administration.

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 (see http://www.ppic.org/main/bio2.asp?i=431).

Most statistical questions involving data ultimately are about causal effects. What is the effect of changing prices on demand? What is the effect of an advertising campaign on demand. In this course we discuss statistical methods for analyzing causal effects. We look at the analysis and design of randomized experiments. We also look at various methods that have been used to establish causal effects in observational studies. Students will develop the skills to assess causal claims and learn to ask the right questions and evaluate statistical analyses. You will carry out research projects and work with statistical software.

This is a short course on data driven decision making. The purpose of the course is to help students become intelligent consumers and producers of data analytics in the business context. Each class meeting will consider a different case/caselet involving data and statistical analyses. We will spend a lot of time on understanding the difference between correlation and causation, and measurement issues such as small sample problems and selection bias. By the end of the course students will have sharpened analytical skills, and will be more critical of data and statistical analyses. This is *not* a data/statistical methods course, but is rather an analysis course. The course requires only the tools learned in D&D.

This course covers auction theory, matching, and related parts of the literature on bargaining and pricing. Key papers in the early part of the course are Myerson and Satterthwaite on bargaining, Myerson on optimal auctions, and Milgrom and Weber's classic work. We then turn to markets in which complicated preferences and constraints, limitations on the use of cash, or variations in contract details among bidders play an important role. Emphasis is on matching markets such as the National Resident Matching Program and asset auctions such as the spectrum auctions.

This course completes the first-year sequence in econometrics. It develops nonparametric, semiparametric and nonlinear parametric models in detail, as well as optimization methods used to estimate nonlinear models. The instructor will discuss identification issues, the statistical properties of these estimators, and how they are used in practice. Depending on student and instructor interest, we will consider advanced topics and applications, including: simulation methods and Bayesian estimators.

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.