316202 Statistical and Econometric Models (V) (SoSe 2013)

Contents, comment

Regression
- descriptive and inferential
- point and interval estimation
- hypothesis testing
- linear models and beyond

Requirements for participation, required level

All participants are expected to have basic knowledge of elementary statistics,
linear algebra, analysis, and probability as contained in Appendix A and the first
sections of appendix B in the text mentioned below.

Students are assumed to fill gaps in their knownledge prior or during the course
on their own.

Bibliography

The main reference (and basis for the course) is Hansen, B., Econometrics, Lecture notes, 2013
The test is freely available at http://www.ssc.wisc.edu/~bhansen/econometrics/

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

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Examinations

Date Time Format / Room Comment about examination

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Subject assignments

Module Course Requirements  
31-M-Ectr1 Econometrics 1 Statistical and Econometric Models Graded examination
Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Economic Behavior and Interaction Models / Promotion    
QEM - Models and Methods of Quantitative Economics / Master    
Statistische Wissenschaften / Master (Enrollment until SoSe 2014) SW3; SW3A   7  

Regular and active participation in lectures and tutorials as well as preparation of exercises is assumed.

Mid-term exam: to be announced
Final exam: to be announced

Both exams cover topics from the lectures and the tutorials

No eLearning offering available
Address:
SS2013_316202@ekvv.uni-bielefeld.de
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If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_37168366@ekvv.uni-bielefeld.de
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Friday, December 11, 2015 
Last update times:
Monday, September 2, 2013 
Last update rooms:
Friday, August 16, 2013 
Type(s) / SWS (hours per week per semester)
lecture (V) / 4
Department
Faculty of Business Administration and Economics
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37168366