Department of Economics

Johannes Kepler University

CS & IC Econometrics I


The Course (CS) and the Intensifying Course (IC) Econometrics I are part of the Econometrics Curriculum of the Department of Economics. Its goal is to provide students an understanding of simple econometric models and to introduce them to deal with empirical work in a critical manner. The main target audience is therefore students of the Bachelor program in Business  & Economics who aim to specialize in either Economics or in Management and Applied Economics. Of course, students of other areas of specialization, or other programs who are interested in empirical methods are highly welcome. The CS's focus is on econometric theory and applications are being taught in the accompanying IC. All IC meetings will take place in the computer lab.

Target audience:

Please note that the two prerequisite courses CS and IC Empirische Wirtschaftsforschung are offered every winter term. In order to register ,students need basic knowledge in mathematics, statistics and simple econometrics. See, for instance, Appendix A to C and chapters 1 to 4 in Wooldridge (200x).




CS: Wooldridge, Jeffrey M. (200x), Introductory Econometrics: A Modern Approach, 3rd ed. or higher, South Western College Publishing, Mason (Ohio).
IC: (optional): Adkins, Lee C und R. Carter Hill (2008), Using Stata for Principles of Econometrics, 3rd ed., Wiley.


Time & Place
Topic Material
CS/IC Di, 08.03.11, 13:45-15:15, K 001A Preparatory Meeting  
CS Di, 15.03.11, 13:45-15:15, K 001A Multiple Regression Analysis: Recap (Ch. 2-4 ) - I Slides I (03/16)
 CS Di, 22.03.11, 13:45-15:15, K 001A Multiple Regression Analysis: Recap (Ch. 2-4) - II see above
CS Di, 29.03.11, 13:45-15:15, K 001A Multiple Regression Analysis: Further Issues (Ch. 6) - I Slides II
CS Di, 05.04.11, 13:45-15:15, K 001A Multiple Regression Analysis: Furthe Issues (Ch. 6) - II see above
CS Di, 12.04.11, 13:45-15:15, K 001A Multiple Regression Analysis: Binary Variables (Ch. 7) Slides III
CS Di, 03.05.11, 13:45-15:15, K001A Heteroskedasticity (Ch. 8) Slides IV
CS Di, 10.05.11, 13:45-15:15, K 001A More on Specification Data Issues (Ch. 9)

Slides V (05/31)

IC Di, 10.05.11, 15:30-17:00, HT 176G Problem Set I PS I
CS Di, 17.05.11, 13:45-15:15, K 001A Basics with Time Series Data (Ch.10) - I Slides VI
IC Di, 17.05.11, 15:30-17:00, HT 176G Problem Set II PS II
CS Di, 24.05.11, 13:45-15:15, K 001A Basics with Time Series Data (Ch. 10) - II  see above
IC Di, 24.05.11, 15:30-17:00, HT 176G Problem Set III
CS Di, 31.05.11, 13:45-15:15, K 001A Buffer I  
IC Di, 31.05.11, 15:30-17:00, HT 176G Problem Set IV
CS Di, 07.06.11, 13:45-15:15, K 001A Buffer II  
IC Di, 07.06.11, 15:30-17:00, HT 176G Problem Set V (start with this: link)
CS Di, 21.06.11, 13:45-15:15, K 001A Final Exam (Final Results: CS, IC)
CS tba Additional Exam  

Courses' procedure

CS: Before students attend the CS, they are asked to study the relevant chapters in the text book. In class the material is discussed together thoroughly. Two short tests on the reading assignments will be given (without extra notice!) during the semester. On each test students can gain a maximum of 20 points. The better score will account for the final grade. At the end of the semester a final exam (with a maximum of 100 points) will be given. The grading scale for the CS will be as follows:

Points Grade
From to
120 106
Very good
76 Satisfactory

[Note this follows the Austrian system of scholastic grades. This is a 5-point grading scale, where ‘very good’ is the best possible grade, ‘good’ is the next-highest, ‘satisfactory’ indicates average performance, ‘adequate’ is the lowest passing grade and ‘unsatisfactory’ is the lowest and the only failing grade.]

IC: The integral parts of the IC are five take-home problem sets consisting of practical exercises. Students will be assigned to present the solutions of the exercises in the computer lab. This is followed by a general discussion of the motivations, intuitions, and analytics of each exercise. Each problem set consists of about five exercises. The problem sets can be downloaded next to the relevant date in the table below. To solve the exercises, students are free to use any calculator, computer, or software package. However, Stata is highly recommended.

Before the meeting students should (i) send their completely solved exercises to, and (ii) register in the list in class. In order to register for an exercise it is necessary that one has worked and thought through the whole exercise. Of course, one may work together with other colleagues to solve the problem sets. However, each student must be able to explain the solution to the class clearly. [Please make sure, when you are assigned to present the solution to an exercise in class that you do that in a clear and efficient way. I suggest you use the log-file or the text-file which you have submitted via email.] After the meeting students should recapitulate the whole problem set at home.

In sum the exercises allow to collect 30 points. In general an exercise accounts for one point; otherwise it is explicitly stated. Moreover, the quality of the presentation counts. For a very good presentation students get an additional point, for a very bad presentation one point. is lost The grading scale for the IC will be as follows:

Points Grade
From to
25 or more
24 Very good
23 22 Good
21 19

Dats sets:

Stata & Data search:


Data search:

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