Econometrics, Statistics and Empirical Economics

S312 Bachelor Thesis on Empirical Economics

This seminar is jointly offered by the departments of Prof. Dr. Martin Biewen (Statistics, Econometrics and Quantitative Methods) and Prof. Dr. Joachim Grammig (Econometrics, Statistics and Empirical Economics).

Please register by joining the ILIAS folder, where you will have to upload a current transcript of records and fill out a survey regarding your topic preferences by October 12, 23:55. Your supervising chair will be assigned to you based on your indicated preferences, and you will be contacted once the decision has been made.

Lecturer

Prof. Dr. Martin Biewen

Prof. Dr. Joachim Grammig

Dr. Julie Schnaitmann

Miriam Sturm

Alexander Reining

Simon Zeller

Jacqueline Gut

Robin Gligorov

Profiles

B.Sc. in Economics and Business Administration

B.Sc. in Interantional Economics

B.Sc. in Interantional Business Administration

Level3rd year Bachelor
Time and PlaceSee timeline below
PrerequisitesApplied Econometrics (or comparable)
LanguageEnglish or German
Credit Points12
Exam

1. Presentation of draft

2. Bachelor thesis

3. Final presentation

Timeline

until 12.10.2025, 11:55pmUpload transcript of records to the  Ilias folder and fill out survey regarding topic preferences 
until 17.10.2025Assignment to supervising chairvia email
until 24.10.2025Discussion of the chosen topic with supervisor 
31.10.2025Start of bachelor thesis 
05.12.2025Presentation of first draft and feedbackroom 330, Mohlstr. 36
09.01.2026, noon (12:00)Deadline for submitting bachelor thesis 
16.01.2026Presentation of final thesisroom 209, Mohlstr. 36

Formal guidelines

Plagiarism and academic fraud

It is strictly forbidden to: i) copy/paste text from existing publications outside a regular quote, ii) copy essential thoughts or structures from existing work without acknowledging their sources, iii) use substantial external help in carrying out research or writing without acknowledging this, iv) produce fake research results. Any violations of these rules may lead to exmatriculation. Academic fraud may also destroy your career if discovered later in your life. We will use software to detect potential academic misconduct.