314004 Reading Course "Statistische Wissenschaften" (Ko) (WiSe 2015/2016)

Contents, comment

In this course parts of the book
Badi H. Baltagi: Econometric Analysis of Panel Data, John Wiley, 3rd edition, 2005
will be read jointly.

The book is a classic in the area of panel data modeling. Panel data appear widely in all areas of economics as well as in psychology, sociology and many other sciences. Panels are constituted by different waves of data collection where in each wave a number of invidividuals (potentially the same in all waves) are observed.

The session are set up in the following way:
1. Discussion of "left overs" from the last session (remaining questions, follow up etc.): D. Bauer.
2. Presentation of a summary of the current material (typically a part of a chapter): students.
3. Discussion of the material: all.

Talks and discussions will be in English.

More details on the modalities of the course will be discussed in the first meeting.

Requirements for participation, required level

The course is open for students from the master "Statistische Wissenschaften" and BigSem. The upper limit for participants is 20.

Bibliography

Badi H. Baltagi: Econometric Analysis of Panel Data, John Wiley, 3rd edition, 2005.

The book is available in the library in small numbers. Electronic copies can be found on the web.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

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Subject assignments

Module Course Requirements  
31-SW-StaFo Forschung in der Statistik Reading Course 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  
Economics and Management (BiGSEM) / Promotion   4  
Statistische Wissenschaften / Master (Enrollment until SoSe 2014) SW8   3. 2  

Prerequisites for the attendance in this course is the profound mastering of linear regression models and its accompanying inference framework (t-tests, F-tests). Matrix notation will be used within the course, but is not a mandatory prerequisite. The necessary foundations will be reviewed in the first session.

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WS2015_314004@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Friday, December 11, 2015 
Last update times:
Thursday, August 20, 2015 
Last update rooms:
Thursday, August 20, 2015 
Type(s) / SWS (hours per week per semester)
colloquium (Ko) / 2
Language
This lecture is taught in english
Department
Faculty of Business Administration and Economics
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59705003