A first course in regression estimation. Largely just copy-paste of a colleagues slides.

Topic 1: Causation and Random Experiments (printable)

Topic 2: Simple OLS (printable)

Topic 3: Multiple (OLS) Regression (printable)

Topic 4: Inference (printable)

Topic 5: Further Issues (printable)

Topic 6: Heteroskedasticity (printable)

Topic 7: Dummy Variables (printable)
Extra: NZIS with Julia (contains nothing assessable)

Topic 8: Pooled Cross Section and Panel Data (printable)

Topic 9: Instrumental Variables (printable)

Topic 10: Arguing with Data (printable)

Topic 11: Revision (printable)

[link to raw materials that create these lecture slides in github]