Introductory Slides from the first lecture: (ppt)

German-English Dictionary for Statistics and Econometrics (xls)

Time Table here

Slightly modified script available on Ilias

Introductory slides for the first practical class (pdf)

Information concerning the assignments (pdf)

Gauss Tutorial (pdf)

Wage data for the introductory session (txt)

Introduction program (prg)

Last week's workfile here (Sorry for delay.)

Here is the GAUSS program of todays lecture/exercise (you see, I also commit programming errors). BTW: Very enjoyable (and productive) class today! This is how University should be. (I think).

For next week, work on the assignments in batch 3 of Q4R. Next week will be devoted to Maximum Likelihood estimation. The exercise will deal with some important results from ML theory.

Additional information on cml library (pdf)

Next Tuesday's time slot will be devoted to an 'practical class' /exercise format. Discussion will focus on practial applications and the Q4R from batches 4 (on ML) as well as batch 7 (1.-3.) and batch 8 and batch 9 (1. and 2.) (Unit root tests). The batch 7 and 8 and 9 material will be covered in the Monday lecture.

Note: For Diploma students the course counts for 7 LP (not 6). I just recognized the error on this page.

EVIEWS Workfile from Tuesdays Lecture (S&P) with GARCH equation object (wf)

Grades for the first assignments (pdf)