WiSe 24/25: Module offerings

• Statistische Modellierung (Statistical Modeling)

  0171dB2.2
  learning objectives: Students are advised to take “Introduction to Econometrics” before starting this module. Students learn how to ... read more

  learning objectives:
  Students are advised to take “Introduction to Econometrics” before starting this module. Students learn how to analyze data for which the regression model is not appropriate. Students deal with the most important models used in the analysis of nominal, ordinal, and integer characteristics so that they can describe the models and also apply them empirically. Students will continue to discuss the analysis of general dependency patterns. They also learn the relevant methods and how to interpret the results obtained through use of these methods. In the tutorial section, students learn how to use the appropriate software and interpret the results based on examples. Everyone is given an equal opportunity to contribute their ideas and concepts.
  
  

  course content:
  Logit and probit models, threshold models, cumulative probit models, count data models, generalized linear model, log-linear model, models for longitudinal data.
  
  

  language of instruction:
  German / English
  
  workload
  180 hours (6 ECTS)
  
  duration / frequency
  one semester / irregular

  close
  • 10121301 Lecture
    Statistical Modeling (V) (Ulrich Schneider)
    Schedule: Mo 16:00-18:00 (Class starts on: 2024-10-14)
    Location: HFB/D Hörsaal (Garystr. 35-37)
    
  • 10121326 Methods Tutorial
    Statistical Modeling (Ü) (Lukas Fink)
    Schedule: Mi 16:00-18:00 (Class starts on: 2024-10-30)
    Location: Mi Hs 105 Hörsaal (Garystr. 21), Mi K 006b PC-Pool 2 (Garystr. 21)
    

• Modules w/o courses in this semester

  2 Modules
  • Einführung in die Ökonometrie (Introduction to Econometrics) 0171dB2.1
  • Sampling Methods 0171dB2.5