Technische Universität Ilmenau

Empirical Research 1 - Modultafeln of TU Ilmenau

The Modultafeln have a pure informational character. The legally binding information can be found in the corresponding Studienplan and Modulhandbuch, which are served on the pages of the course offers. Please also pay attention to this legal advice (german only). Information on place and time of the actual lectures is served in the Vorlesungsverzeichnis.

subject properties Empirical Research 1 in major Master Wirtschaftsingenieurwesen 2015
subject number101609
examination number2500236
ID of group 2542 (Economic Policy Group)
subject leaderProf. Dr. Thomas Grebel
term Wintersemester
credit points4
on-campus program (h)34
self-study (h)86
Obligationobligatory elective
examalternative examination performance
details of the certificate

25 % mid term paper, 50 % final term paper, 5 takehomes

maximum number of participants
previous knowledge and experience

Mathematics, Statistics

learning outcome

The objective of this course is to prepare students for basic empirical work. It is a hands-on course, where students learn to work with simulated as well as real economic data. Topics include basic data analysis, regression, testing and forecasting. Students will get in touch with software such as Mathematica and they will acquire the necessary skills to carry out there own empirical research.


Introduction to Econometrics using Mathematica, Monte-Carlo Simulation, testing consistency and efficiency of estimators, algebra of least squares, least square regressions, testing Gauss-Markov assumptions, Maximum-likelihood estimation.

media of instruction

Slides, online-tutorials, software programming, takehomes

literature / references

Murray, Michael (2006): Econometrics: A Modern introduction, Pearson Addison-Wesley.
Greene, W. H. (2008): Econometric Analysis, 6th Ed. Pearson International.
Wooldridge, Jeffrey M. (2012): Introductory Econometrics: A Modern Approach, 5th Ed. South-Western.

evaluation of teaching


Freiwillige Evaluation:

WS 2014/15 (Vorlesung)

WS 2015/16 (Vorlesung)