This course goes beyond the first econometrics course to cover such topics as analysis of time series data, pooling of cross section and time series data, instrumental variables and other quasi-experimental designs, estimation of simultaneous equation models and estimation of limited dependent variable models—techniques that are part of every applied economist’s toolkit. The course is based on Chapters 10-17 of Wooldridge, Introductory Econometrics, A Modern Approach.
This course gives undergraduates the opportunity to gain course credit for an economics-related internship. The class provides additional structure around their internships, with assignments that encourage students to be reflective about how they can apply what they have learned in their economics courses to their internship.
Emphasizes the interaction between economic problems and the assumptions employed in statistical theory. Formulation, estimation, and testing of economic models, including single variable and multiple variable regression techniques, theory of identification, and issues relating to inference.
Economic analysis of labor based on modern theory and empirical analysis. Focus on public policy, studying the interactions between labor demand and labor supply in the labor market and how policies impact those interactions. Possible policies include welfare policy, minimum wage policy, immigration policy, and anti-discrimination policies. Uses statistical software to summarize and create visualizations of economic data.
The application of theoretical and empirical economic tools to the sports industry, including competition at professional,collegiate, and international levels. Microeconomic models from labor, industrial organization and public finance will be applied to the sports industry and combined with data from sports markets, providing students with opportunities to produce and interpret economic analysis. The topic of discrimination will also be explored in the context of this particular economic activity.
Analysis of the theories of consumer behavior, producer behavior, different market structures, and various sources of inefficient outcomes. Analysis of microeconomic policies designed to improve market outcomes.
This course provides an overview of major theoretical contributions using microeconomic theory along with an introduction to dynamic optimization. The course is intended to give participants a sense of different fields in microeconomics –labor, health, industrial organization, international trade, economic development, urban economics, and more. In the process, students will gain an appreciation of modeling approaches.