Empirical Research 1 - Interactive curriculae of TU Ilmenau
The interactive curriculae provide information on the degree programmes offered by the TU Ilmenau.
Please refer to the respective study and examination rules and regulations for the legally binding curricula (Annex Curriculum).
You can find all details on planned lectures and classes in the course catalogue.
Please note that this page is no longer updated. All modules and study plans from PO version 2021 onwards (Bachelor and Master study programs) are now available on the Campus Portal.
|
module properties Empirical Research 1
in degree program Master Medienwirtschaft 2018
ATTENTION: not offered anymore |
|
|---|---|
| module number | 101609 |
| examination number | 2500236 |
| department | Department of Economic Sciences and Media |
| ID of group | 2542 (Economic Policy) |
| module leader | Prof. Dr. Thomas Grebel |
| term | winter term only |
| language | Englisch |
| credit points | 4 |
| on-campus program (h) | 34 |
| self-study (h) | 86 |
| obligation | elective module |
| exam | alternative examination performance |
| details of the certificate | 25 % mid term paper, 50 % final term paper, 5 takehomes |
| link to Moodle course | https://moodle2.tu-ilmenau.de/course/view.php?id=298 |
| teacher | Prof. Dr. Thomas Grebel |
| signup details for alternative examinations | This module contains at least one alternative exam part. Please note that this must usually be registered at the beginning of the semester in which it is offered. |
| 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. |
| content | 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 and technical requirements for education and examination in case of online participation | Slides, online-tutorials, software programming, takehomes |
| literature / references | Murray, Michael (2006): Econometrics: A Modern introduction, Pearson Addison-Wesley. |
| evaluation of teaching | |