This course covers basic econometric methods commonly used by policy analysts and social scientists, including bivariate and multivariate regression. Students will become familiar with the application and interpretation of these methods, including the assumptions behind them and the problems that arise when these assumptions are not met. The course also covers more advanced methods such as panel data and fixed effects, instrumental variables, and basic time series analysis and forecasting. It is intended to provide students with the foundation to take more advanced quantitative methods courses. During the course, students will demonstrate their learning by completing a research project of their own design, culminating with a poster presentation at the conclusion of the course. Students will also become familiar with the Stata statistical package.
Gopher Grades is maintained by Social Coding with data from Summer 2017 to Summer 2025 provided by the University in response to a public records request