Advanced Quantitative Methods
POL 50050 PhD Quantitative Methods II
Thursday, 9-11 am, room G317, Newman Building (building 36 on the campus map).
While the statistical package R is the software used on slides, students can use any package of choice. A booklet with commands in R, Stata, and SPSS will be made available. R 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.
A booklet is in production with all relevant commands for the course in a number of different statistical packages, with an early draft here: Statistical Software Guide for Introductory Econometrics. Since we are actively working on this booklet, any feedback would be greatly appreciated.
For R users, please make sure to install the following packages prior to the second lecture of the course:
faraway, arm, lmtest, tseries, ape, MASS, plm, and pcse.
It is generally advisable to bring electronic copies of slides and lecture notes (where applicable) to the class. I would recommend not to print the slides, however, since these are large files. There is also WiFi access available in-class.
Data can be found on the teaching data page, but for homeworks also original replication data sets might be used.
|3||9/2||Ordinary Least Squares||slides||lab||notes||homework|
|7||14/3 (!)||Maximum Likelihood||slides||lab||homework|
|8||30/3||Limited dependent variables I||slides||lab|
|9||6/4||Limited dependent variables II||(continued)||(continued)|
|10||13/4||Bootstrap and simulation||slides||lab||notes||homework|
|11||20/4||Multilevel and panel data||slides||lab|
|12||27/4||Spatial and network data||slides||lab | output|