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for bachelor's level courses: Ms. Christiane Cischinsky (christiane.cischinsky(at)uni-mannheim.de)
for master's level courses: econgrad(at)uni-mannheim.de
Please register for this lecture via Portal2 after your arrival in Mannheim. There is no deadline. During the semester, you can register and deregister from any lecture on your own accord. A manual for course registrations can be found in Portal2 > User Manuals > For Students. Please check if you meet the prerequisites! Please note the prerequisites!
Module number and title: Power Analysis
Form and usability of the module: Elective module for M.Sc. in Economics
Responsible teacher of the module: Dr. Ingo Steinke
Cycle of offer: Irregular
ECTS credits: 5 ECTS
Teaching method (hours per week): Lecture (2 SWS)
Workload: 150 hours in total; 21 hours in class and 129 hours for independent studies and exam preparation
Course language: English
Prerequisites: Advanced Econometrics I or equivalent
Grading and ECTS credits: Final exam (60 min)
Goals and contents of the module: For the planning of statistical studies it is important to know how to choose the sample size in order to be able to prove a specific effect. Moreover, it is useful to compute the power of a test under certain alternatives in order to know what conclusion can be made even if the null hypothesis is not rejected. In the lecture the power of tests is derived and computed under alternatives in several models, e.g. for simple t-tests and in variance, regression, and meta analysis models. The theory behind the formulas will be discussed. Using Stata the power of the tests is computed and sample size computations are performed.
Expected competences acquired after completion of the module: The students know distributional properties of the normal, t-, chi-square, and F-distribution and know how these distributions are constructed. For specific models the students can derive the formulas for the computation of the power. They can compute the power of tests using Stata and determine the sample size necessary to distinguish a specific effect.
Expected number of students in class: 15
Contact Information: Ingo Steinke, Phone. (0621) 181 1940, email: isteinke(at)rumms.uni-mannheim.de, Office: L7, 3-5, 142, Office hours: Tue und Wed, 17:15-18:15.
It is mandatory that you register via Portal2 after your arrival. You can register anytime between February 4 (9:00 a.m.) and February 7, 2019 (11:59 p.m.). The time of your registration is not relevant, as places will be allocated randomly. Further information will be provided during the orientation week.