Courses offered as instructor of record
This course is an in-depth exploration of applied linear regression analysis and the broader class of generalized linear models. Linear regression analysis, and inferential statistics more generally, are based on the desire to estimate the relationship between two or more variables. We would like these estimates to be unbiased, efficient, and consistent. Short of those goals, we should learn what can be done when they’re not. Students learn econometric techniques and how to interpret their results. They learn to understand the theoretical issues involved in the basic model using the simplest possible case, the bivariate model, and become familiar with further complexities of statistical inference from regression models. Students gain fluency with fundamental theoretical issues, familiarity with the general model, and comfort with the computer application of multivariate regressions and binary response models.
Courses in which I served as a teaching assistant