Johan A. Elkink
teaching

Advanced Quantitative Methods

POL 50050 PhD Quantitative Methods II

Wednesday, 9-11 am, room C113, Health Sciences Building.

Syllabus

For this course, we use the statistical package R, which can be downloaded for free here. A handy overview of R regression commands can be found here: reference card for regression. A more general one for R is here: short reference card.

Here is an interesting list of statistics blogs.

Lecture 1: Math review slides homework answers notes
Lecture 2: Statistical estimators slides homework answers notes data
Lecture 3: Ordinary Least Squares slides homework answers data (source)
Lecture 4: Hypothesis tests slides homework answers data (source)
Lecture 5: Specification, etc. slides homework answers notes data 1 2 3 extra
Lecture 6: Autocorrelation slides homework answers data 1 2
Lecture 7: Time-series slides homework answers data 1 2
Lecture 8: Maximum likelihood slides homework answers data 1 2
Lecture 9: Limited dependent variables slides homework answers data 1 2 3 4 5 6
Lecture 10: Bootstrap and simulation slides homework answers notes data
Lecture 11: Multilevel data slides homework answers data 1 2
Lecture 12: Panel data slides homework answers