1297 Advanced Quantitative Methods for Social and Economic Research
Univ.Prof. Dr. Marcel Bilger
Contact details
Weekly hours
Language of instruction
09/01/23 to 10/12/23
Registration via LPIS
Notes to the course
Day Date Time Room
Friday 10/13/23 10:30 AM - 12:00 PM TC.3.06
Friday 11/03/23 09:00 AM - 12:00 PM D4.0.047
Friday 11/10/23 09:00 AM - 12:00 PM D4.0.019
Friday 11/17/23 09:00 AM - 12:00 PM TC.4.18
Friday 12/15/23 09:00 AM - 12:00 PM D4.0.047
Friday 01/12/24 09:00 AM - 12:00 PM D4.0.047
Friday 01/19/24 09:00 AM - 12:00 PM D3.0.237
Friday 01/26/24 09:00 AM - 12:00 PM D3.0.237

The seminar is dedicated to the study of the quantitative methods that are most relevant to the class. The lecturer will introduce each quantitative method with a short lecture including Stata examples. Strong emphasis will be given to the reading and discussion of peer-reviewed academic articles applying the method. In addition, the students will have to present their own research or a related published article during the semester.

Learning outcomes
  • Intuitively understand a wide range of quantitative methods and relationships between them
  • Select the quantitative method that is most appropriate to the research question and available data
  • Critically appraise published quantitative research
  • Present and motivate own quantitative methods
Attendance requirements

A minimum of 70% of contact hours.

Teaching/learning method(s)
  • The lecturer gives a short introduction to each quantitative method using real-life data examples analyzed with the Stata software
  • The students present peer-reviewed articles applying quantitative methods relating to the seminar
  • The students present the quantitative methods they apply in their own research in the relevant seminar
  • Class discussion of all presentations


  • Presentation of peer-reviewed research article (35 points)
  • Presentation of own quantitative research (35 points)
  • Discussion of research articles and student presentations (30 points)

Grades (point ranges)

  • 1: Excellent (90-100 points)
  • 2: Good (80-89 points)
  • 3: Satisfactory (65-79 points)
  • 4: Sufficient (50-64 points)
  • 5: Fail (0-49 points)

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Availability of lecturer(s)

Please email lecturer for office hours.

Last edited: 2023-05-02