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Master Seminar in Applied Economics (R-Module)

Exam number: 6837

Semester: from 1st semester

Duration of the module: One semester

Form of the module (i.e. obligatory, elective etc.): Elective

Frequency of module offer: Every semester

Prerequisites: Prior knowledge in statistics or programming can be beneficil.

Applicability of module for other study programmes:
Obligatory or elective in other study programmes. For further information check regulations of the study programme.

Person responsible for module: Prof. Ingo Geishecker, PhD

Name of the professor: Prof. Ingo Geishecker, PhD Marco Kühne, M. Sc.

Language of teaching: English

ECTS-Credits (based on the workload): 6

Workload and its composition (self-study, contact time):
Contact time (lecture, tutorials, seminar etc.) 30 h; self-study: 150 h

Contact hours (per week in semester): 2

Methods and duration of examination:
Empirical Project

Emphasis of the grade for the final grade: Please check regulations of the study programme

Aim of the module (expected learning outcomes and competencies to be acquired):
Students learn:

  • How to do data analysis (data management, data manipulation, data visualization)
  • How to give and get feedback from peer students.
  • How to read and write empirical papers.

Contents of the module:
The seminar deals with the empirical analysis of questionnaire data. Students are given the opportunity to work on empirical projects under intense supervision. We embed our empirical projects in a seminar paper.

Teaching and learning methods:
Lectures in data analysis (data management and manipulation) and academic writing (development of scientifc question, literature search and citation rules).

Special features (e.g. percentage of online-work, practice, guest speaker, etc.):
Check out our seminar homepage http://seminars-in-applied-economics.de/

Literature (compulsory reading, recommended literature):
Topics are allocated by preference in the first week. A corresponding basic literature is provided.

Further information:
Registration in Moodle Viadrina required.