Syllabus

Title
6255 Applied Econometrics
Instructors
Lucas Darius Konrad, M.Sc.
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/14/25 to 02/20/25
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Monday 03/03/25 10:00 AM - 12:00 PM TC.3.12
Monday 03/10/25 10:00 AM - 12:00 PM TC.3.12
Monday 03/17/25 10:00 AM - 12:00 PM TC.3.12
Monday 03/24/25 10:00 AM - 12:00 PM TC.3.12
Monday 03/31/25 10:30 AM - 12:30 PM TC.4.17
Monday 04/07/25 10:00 AM - 12:00 PM TC.3.12
Monday 04/28/25 10:00 AM - 12:00 PM TC.3.12
Monday 05/05/25 10:00 AM - 12:00 PM TC.3.12
Monday 05/12/25 10:00 AM - 12:00 PM TC.3.12
Monday 05/19/25 10:00 AM - 12:00 PM TC.3.12
Monday 05/26/25 10:00 AM - 12:00 PM TC.3.12
Monday 06/02/25 10:00 AM - 12:00 PM TC.3.12
Contents

The main focus of this course will be on time-series (TS) econometrics. Topics covered will be

  • stationary univariate TS, in particular AR and MA processes. 
  • ARIMA-models and stationarity tests
  • Panel Models
  • stationary multivariate time series models such as bivariate and multivariate vector autoregressions (VARs)
  • volatility models such as ARCH/GARCH
  • if time allows: A short introduction to Bayesian econometrics
Learning outcomes
This course provides an introduction to the analysis of economic data using econometric methods. After taking the course, students should be able to understand empirical studies published in scientific journals and carry out econometric work by themselves. The course complements and expands the subjects dealt with in Econometrics I and II and involves writing an empirical, applied-econometric essay.
Attendance requirements

Attendance is compulsory. A maximum of 2 lessons may be missed. This also applies if the course switches to a different mode, e.g. online or hybrid mode.

Teaching/learning method(s)
Lectures, Essay, Presentation
Assessment
  • Two case studies (10 points each, 20 points overall), accounts for 25% of the final grade
  • Written exam in the antepenultimate session (30 points), accounts for 40% of the final grade
  • Final presentation in the last two sessions (30 points), accounts for 35% of the final grade

 

 

 

Readings

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Recommended previous knowledge and skills

We take for granted that students have visited Econometrics I and II and that the content of these courses have been understood (Wooldridge, 2009, chapters 1-10, appendices A-E).

Availability of lecturer(s)

lucas.konrad@wu.ac.at

 

Other

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Last edited: 2024-12-02



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