Statistics, Econometrics and Quantitative Methods

S510/520 Master Seminar on Econometrics

Details

Lecturer:  

Prof. Dr. Martin Biewen
Prof. Dr. Joachim Grammig
Dr. Julie Schnaitmann

Jacqueline Gut
Alexander Reining

Henri Pfleiderer

Simon Zeller

Profiles:  

MSc Accounting and Finance
MSc Economics and Finance
MSc European Economics
MSc European Management
MSc General Management
MSc International Business
MSc International Economics
MSc Management and Economics
MSc Economics

MSc Data Science in Business and Economics

Prerequisites:   At least one successfully completed master course offered by the chairs of Prof. Biewen and/or Prof. Grammig.
Language:   English
Registration   Upload transcript of records to the Ilias folder and fill out the survey
Deadline for Submission of Term Paper  

tba

Presentation of Term Paper   tba
Exam:   1) Term paper
2) Paper presentation
3) Discussion of another paper
Credits:   9 ECTS

Timeline

until 13.10.2024, 11:55pmUpload transcript of records to the Ilias folder and fill out the survey 
until 18.10.2024Assignment to supervising chairvia email
until 25.10.2024Discussion of the chosen topic with assigned supervisor 
01.11.2024Start of working time 

10.01.2025, 11:55am

 

 

Deadline for submission of seminar thesis 
17.01.2025Presentation of final thesis
(mandatory participation in whole day seminar)
time and format tba

Seminar outline

The seminar will be held jointly by the chair of Prof. Biewen and Prof. Grammig. Topics of the seminar will be chosen from the following fields: 1) Time Series Analysis, 2) Financial Econometrics, 3) Microeconometrics, 4) Panel Data Analysis. We expect and encourage participants to come up with ideas for their own topics (of course, we will provide assistance in finding a suitable topic). We expect all participants to prepare a professional presentation and a term paper on their topic, which may include a small empirical application using data such as the German Socio-Economic Panel Study or a data set from the field of finance. If you are interested in carrying out your own empirical project we recommend you to read chapter 19 "Carrying out an Empirical Project" of Wooldridge's book "Introductory Econometrics".

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.

Use of generative AI-tools

You are allowed (and expected) to use generative AI-tools. The following rules apply when using generative AI-tools: i) It is your responsibility to fully check the validity of any output generated by AI-tools. ii) It is your responsibility to include references to the sources of knowledge used in generative AI-output, even if these sources are not named in the output. iii) Rules on plagiarism still apply. It is your responsibility to check whether the AI-generated output contains copied text. Reformulate if in doubt. iv) Given that the use of AI-tools saves time on low-level tasks, we expect you to substantially add to your work by spending more time on high-level tasks.