The course focuses on the fundamental economic theories most useful for the management of a firm in a global environment. Microeconomic theories and current events are used to explain the performance of the market system and help managers formulate effective pricing and business decisions. Macroeconomic theories and current events are used to explain the direction of the domestic and global economy to help managers understand the implications, including foreign direct investment, for their companies. Students will learn to explain and predict changes in economic growth, inflation, interest rates, international trade and foreign exchange rates.

This course is designed for doctoral students and serves as the first of a two-course sequence focused on modern econometric theory and methods. This foundational course covers essential concepts in statistics, including the theory, uses, and application of regression techniques under different conditions. The course will cover common econometric challenges in social sciences research and discuss techniques used to address them. The class adopts a hands-on approach, with students working with data to model and address econometric issues. Familiarity with basic statistics, calculus, and matrix algebra is required.

This course is designed for doctoral students and serves as the second of a two-course sequence focused on modern econometric theory and methods. The course builds on the students’ knowledge of advanced econometric techniques used in social sciences research. Topics reviewed in foundational econometrics such as matching and causal identification, are examined in greater detail and rigor with a particular focus on issues such as censoring and selection bias. Relevant modeling techniques are reviewed with an emphasis their use in social science research. The class adopts a hands-on approach, with students working with data to model and address econometric issues.