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Bachelor

Introduction to Data Economy

  • Structure: Lecture + Exercise
  • Cycle: Winter semester
  • Credits: 6 CP
  • Module code: 02-VWL/BWL:BSc-V10-1
  • Language: German
  • Form of Examination: Exam

 The course is an in-person class.

 

  • Discription:

This course is offered in the winter semester and is open to students from the Bachelor's program in Economics and Business Studies.

 

The course covers following topics:

  • Motivation and background on Data Economy
  • Data literacy, Big Data, the value of data
  • Different data structures, data collection and data sources 
  • Survey data (e.g. SOEP) and administrative data (e.g. Mikrozensus)
  • Evaluation of data for answering social problems / questions
  • Correlation vs. causality; selection
  • Research designs (experiment, natural experiments such as DiD, RDD, … )
     
  • Practice-orientated lecture: Head of Data Governance Dr. Vincent Dekker (ACC Automotive Cells Company, previously Daimler AG)
 

The aim of the course is to learn about these different facets and and reflect them critically. For this purpose, research papersand other will be used in the lecture and exercise. Basic knowledge in statistics is expected.

 

The course is based on the book "Causal Inference" by Scott Cunningham (accessible online Welcome | Causal Inference) and "The Effect“ by Nick Huntington-Klein (accessible online The Effect: An Introduction to Research Design and Causality | The Effect).

Further reading is available in the books "Mastering Metrics" by Joshua Angrist and Jörn-Steffen Pischke (online class Mastering Econometrics with Joshua Angrist | Marginal Revolution University) and "Introductory Econometrics“ by Jeffrey Wooldridge.

Introduction to Latex and R

 

  • Structure: Lecture + exercise  
  • Cycle: Summer semester
  • Credits: 6 CP  
  • Module code: 02-VWL/BWL:BSc-V10-Extra-1
  • Language: German
  • Format of Examination: Term paper (70%) + homework (20%) + presentation (10%)
  • Required prior knowledge: Basic statistical knowledge. Attendance of the lecture "Applied Statistics in Economics" is helpful.
  • Schedule: the course takes place four hours per week in the first half of the semester.

The course is an in-person class.

 

  •     Description:

The course is offered in the summer semester and is open to students from the Bachelor's degree program in Economics and Business Studies. The course offers an introduction to the typesetting system LaTex and the statistics software R. The focus is on the practical use of LaTex and R using data sets

The course covers the following topics:

  • Introduction to LaTex
  • Creating documents and presentations in LaTex  
  • Introduction to R and RStudio
  • Import of data sets into RStudio  
  • Data cleaning in RStudio
  • Creating graphics in RStudio

 

Proseminar

  • Structure: Kick-off meeting, regular meetings (introduction to academic work, working with data, introduction to working with Stata, starting/creating a data project, outline meetings, ...), block seminar with presentations.
  • Cycle: Summer semester + winter semester
  • Credits: 6 CP
  • Module code: 02-Wiwi:BSc-Prosem
  • Language: German (written paper and presentation optional in English)
  • Examination method: Written paper + final presentation + active participation

 

  • Description:
  • Data Economy - sourcing, processing and analyzing data from our daily lives.
  • This course if offered in the summer semester and is open to students from the Bacherlo's programme in Economics and Business Studies. Basic knowledge of statistics and econometrics is required.
  • Willingness to work with data (using Stata) is expected. Namely, working with the organisation, process, analysis and visualization of data will be part of this course; basic knowledge of it is not required.

 

  • Covered Topics will be from following areas, for example:
  • Living in Germany (descriptions of different fields of life with the Socio-Economic Panel SOEP)
  • Health economics (e. g. risky health behavior such as smoking, unhealthy diet, lack of exercise)
  • Economics of education (accumulation and investment in human capital, returns to education)
  • Labor economics (wage differences, family planning, and female labor market participation)
  • Policy evaluation (consequences of a reform/legislative change)
  • Causal inference (natural experiments such as Difference-in-Differences approach, instrumental variables)
  • ...
  • General conditions:
    • Application for a Proseminar takes place in advance before the beginn of the summer semester. Students apply for a Proseminar place during the winter semester. Please find the current deadlines in the list for time periods on the homepage of the Examination Office.
    • The allocation of Proseminar places are carried out centrally by the Examination Office.
    • After the allocation has been completed, the results for the Proseminar places will be published on the homepage of the Examination Office.
    • If you have received a Proseminar at our professorship, we will sign you up in the corresponding Stud.IP course. Here, you will find further announcements, documents and deadlines.
    • Formalities and citation rules for papers can be found in the Guidelines for written papers of the Economics professorships.