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Please note that this page is no longer updated.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 module number 200774 - common information | |
|---|---|
| module number | 200774 |
| department | Department of Economic Sciences and Media |
| ID of group | 2542 (Economic Policy) |
| module leader | Prof. Dr. Thomas Grebel |
| language | English |
| term | Wintersemester |
| 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 | 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 | |
| Details reference subject | |
|---|---|
| module name | Empirical Research 1 |
| examination number | 250011 |
| credit points | 5 |
| SWS | 3 (2 V, 1 Ü, 0 P) |
| on-campus program (h) | 33.75 |
| self-study (h) | 116.25 |
| obligation | obligatory module |
| exam | examination performance with multiple performances |
| details of the certificate | Partial exam performance 1: 50% takehomes plus mid-term paper Students need to register for the course during the first few weeks of the respective semester at the examination office. The examination office sets the actual deadline for registration. At the beginning of the course, the lecturer informs students about the registration procedure. Partial exam performance 2: 50% final term paper |
| link to Moodle course | |
| 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 | |