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Improving Regression Analysis (2T)
This is a shortened/condensed/truncated version of the class I teach at the ICPSR Summer Program at the University of Michigan. The theoretical material is similar, but the examples here are in Stata rather than R (you can find slides and materials relating to that class here). These slides remain organized into roughly what I could get through in two-hour blocks at the ICPSR program, so we may finish one lecture and move on to the next within one class period. Please don't hesitate to e-mail me with any questions.
Lecture 1: OLS
Lecture 2: Effective Presentation including Interactions
Lecture 3: The Linearity Assumption and Incroporating Non-linearity
Lecture 4: More Complicated Non-linear Models
Lecture 5: Model Selection, Outliers and Influential Data, Heteroskedasticity
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