Empirical Research 2 - Interactive curriculae of TU Ilmenau

Mathematics, Statistics, Empirical Research 1

After attending the lectures, students know how to work with simulated as well as real economic data. They are familiar with advanced data analysis topics, such as cross-section, time-series as well as panel-data analyses and understand how to interpret different econometric results.
They understand the idea of linear regression, indicator variables, instrument variables, panel-data and other modern econometric concepts.
By attending the interactive exercises, students know to  conceptualize and perform empirical analyses using Stata and 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 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.

Generate, interpret, and present descriptive statistics, hypothesis testing, univariate and multivariate linear regression, maximum-likelihood estimation, logistic regression, panel data regession.

Slides, Hands-on Stata programming, takehomes

Baum, Christopher F. (2006): An introduction to modern econometrics using Stata, Stata Press.
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.

The module Empirical Research 2 with the examination number 250012 concludes with the following achievements:

• alternative examination during the semester with a weighting of 50% (examination number: 2500529)
• alternative examination during the semester with a weighting of 0% (examination number: 2500530)

Details to the conclusion partial performance 1:

50 % takehomes, 25 % 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 lecturor informs students about the registration procedure.

Details to the conclusionn partial Performance 2:

final paper

Prof. Dr. Grebel, Thomas

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.