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Econometrics of Networks

  • Teacher(s)
    Michael König, Fabian Greimel, Simon Trimborn
  • Research field
    Complexity, Econometrics
  • Dates
    Period 3 - Jan 08, 2024 to Mar 01, 2024
  • Course type
  • Program year
  • Credits

Course description

Networks play an increasingly dominant role in many social, business, and economic environments. Moreover, network data becomes increasingly important and available due to the rise of online social media and digitization. This course offers a concise introduction into the most recent econometric methods developed for processing, visualizing and learning from network data. The course will combine lectures with hands-on empirical and programming exercises.


Economics of Networks