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Please note that this page is no longer updated.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 Wirtschaftsinformatik 2021 | |
|---|---|
| module number | 201304 |
| examination number | 2500657 |
| 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 | 5 |
| on-campus program (h) | 34 |
| self-study (h) | 116 |
| obligation | elective module |
| exam | alternative examination performance |
| details of the certificate | Term paper with final report and presentation Please note that the alternative examination part must usually be registered for at the beginning of the semester in which it is offered. |
| link to Moodle course | https://moodle.tu-ilmenau.de/course/view.php?id=3516 |
| 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. The lecturer and/or the examination office will inform you about the details and time periods. If necessary, be sure to ask the lecturer. |
| maximum number of participants | |
| previous knowledge and experience | Mathematics, Statistics |
| learning outcome | After attending the lectures, students know how to work with simulated as well as real economic data. They are familiar with basic data analysis, regression, testing, forecasting, and they understand how to interpret econometric results. Students understand the basics of a statistical software package used in class and, by attending the interactive tutorials, have the necessary skills to carry out their own empirical research. In the interactive tutorials, students have learned to work on tasks independently, present them to the group, receive immediate feedback from the tutor and fellow students, and know how to formulate constructive feedback themselves. Based on intensive discussions during the lectures and tutorials, students can correctly assess and appreciate the achievements of their fellow students. They consider criticism and accept advice. |
| content | The objective of this course is to prepare students for basic empirical work. It is a hands-on course. Introduction to Econometrics using Mathematica, Monte-Carlo Simulation, testing consistency and efficiency of estimators, algebra of least squares, least square regression, testing Gauss-Markov assumptions, and 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 | Stock, J. and Watson, M. W. (2003): Introduction to Econometrics, Prentice Hall, New York. Wooldridge, Jeffrey M. (2012): Introductory Econometrics: A Modern Approach, 5th Ed. South-Western. |
| evaluation of teaching | |