Syllabus

Title
1865 Advanced Methods for Quantitative Economic and Social Research
Instructors
Univ.Prof. Dr. Thomas Plümper
Contact details
  • Type
    PI
  • Weekly hours
    2
  • Language of instruction
    Englisch
Registration
09/06/21 to 09/27/21
Registration via LPIS
Notes to the course
Subject(s) Doctoral/PhD Programs
Dates
Day Date Time Room
Wednesday 10/06/21 01:00 PM - 03:00 PM Online-Einheit
Wednesday 10/13/21 01:00 PM - 03:00 PM Online-Einheit
Wednesday 10/20/21 01:00 PM - 03:00 PM Online-Einheit
Wednesday 10/27/21 01:00 PM - 03:00 PM Online-Einheit
Wednesday 11/03/21 01:00 PM - 03:00 PM Online-Einheit
Wednesday 11/10/21 01:00 PM - 03:00 PM Online-Einheit
Wednesday 11/17/21 01:00 PM - 03:00 PM Online-Einheit
Wednesday 11/24/21 01:00 PM - 03:00 PM Online-Einheit
Wednesday 12/01/21 01:00 PM - 03:00 PM Online-Einheit
Wednesday 12/15/21 01:00 PM - 03:00 PM Online-Einheit
Wednesday 12/22/21 01:00 PM - 03:00 PM Online-Einheit
Wednesday 01/12/22 01:00 PM - 03:00 PM Online-Einheit

Contents

The course is a constitutive element of the Ph.D. program of the Department of Socioeconomics, but open also to Ph.D. students from other departments and Students in the Doctoral Program.

The course allows participants to better understand research designs and to learn the methodology needed in their own analysis. The course thus combines training in methodology, research design, quantitative research methods, and related issues.

The content will be adjusted to fit the interests and needs of participants.

Learning outcomes

The course intends to help participants in developing a successful research design, model specification, and estimation technique for a part of their Ph.D. dissertation.

Attendance requirements

Examination-immanent courses (PI) have compulsory attendance.
In case of absence the Lecturer is to be informed in advance if possible.
More detailed regulations on absenteeism will be explained in the first unit.

 

Teaching/learning method(s)

The course combines lecturing with more interactive research methods and strongly encourages student presentations of quantitative analyses.

Assessment

Assessment is based on

- participation (25 percent)

- presentation (50 percent)

- essays (25 percent)

Last edited: 2021-09-22



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