## Advanced Quantitative Methods

POL 50050 **PhD Quantitative Methods II**

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

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 |