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040567 PR Applied Econometrics (E) (2008S)
Continuous assessment of course work
Labels
General: This course is an introductory course in applied econometrics for Bachelor students studying Economics. Students should learn the linear regresion models, its application and interpretation. Examples include hedonic price equations and wage regressions and are from Wooldridge (2006). The used software is Eviews.
Linear regression analysis: ordinary least square estimation, hypotheses tests, model selection, heteroskedasticity, autocorrelation, dummy variables, examples
Linear regression analysis: ordinary least square estimation, hypotheses tests, model selection, heteroskedasticity, autocorrelation, dummy variables, examples
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 11.02.2008 09:00 to Fr 22.02.2008 23:59
- Registration is open from We 27.02.2008 09:00 to Fr 29.02.2008 23:59
- Deregistration possible until Mo 29.09.2008 23:59
Details
max. 24 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Friday 04.04. 18:00 - 20:00 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
- Monday 07.04. 17:00 - 19:00 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
- Friday 11.04. 18:00 - 20:00 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
- Monday 14.04. 17:00 - 19:00 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
- Friday 18.04. 18:00 - 20:00 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
- Monday 21.04. 17:00 - 19:00 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
- Friday 25.04. 18:00 - 20:00 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
- Monday 28.04. 17:00 - 19:00 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
- Monday 05.05. 17:00 - 19:00 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
- Friday 09.05. 18:00 - 20:00 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
- Friday 16.05. 18:00 - 20:00 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
- Monday 19.05. 17:00 - 19:00 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
- Friday 23.05. 18:00 - 20:00 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
- Monday 26.05. 17:00 - 19:00 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
- Friday 30.05. 18:00 - 20:00 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Information
Aims, contents and method of the course
Assessment and permitted materials
class participation (15%), 3 problem sets (45% -- je 15%) and a take home final (40%)
Minimum requirements and assessment criteria
Examination topics
Reading list
Association in the course directory
Last modified: Mo 07.09.2020 15:29