15 January 2021
Econometrics of Networksonline course
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.
Michael D. König is Associate Professor at the Department of Spatial Economics at VU, Amsterdam. He is also a research fellow at the Tinbergen Institute, the Centre for Economic Policy Research (CEPR) in London, and the Swiss Economic Institute in Zurich.
This course is suitable for graduate, as well as advanced undergraduate students, data scientists and practitioners from all areas who are interested in the analysis of networks. The course combines recent statistical and econometric methods with sound economic micro-foundations to analyze the role of networks in various social and economic environments. All parts of the course (economic theory and econometrics) will be presented in a consistent and interdependent framework, which will make clear that none of them should be studied in isolation. Students becoming more familiar with one particular area will benefit from insights gained through complementary views from other areas. The course will be accessible to advanced undergraduate and graduate students as well as practitioners from all related fields. If you have doubts about your eligibility for the course, please contact us: firstname.lastname@example.org.
Upon successful completion of the course, students will:
become acquainted with different statistical methodologies for analyzing networks while learning how to see these different methodologies complementing each other.
learn to model network problem situations mathematically, and adapt the methods learned to new situations at hand.
be able to recognize, understand, and analyze societal and business problems in which networks are central.
learn how networks affect demand and supply in markets, how this leads to market failures, and how government policies can address these.
20 contact hours
EUR 600: Fees:
- Students and PhD Students: €600
- Professionals: €800
- Students, PhD students and employees at Vrije Universiteit Amsterdam and Amsterdam UMC: €500
Applications received before the 1st of October (Early Bird Discount) receive €50 discount!
The tuition fee includes:
- Application and registration
- Exclusive course content for a limited number of students
- Individual/group guidance from course organiser
- Access to all online VU facilities such as the library and online learning environments
- A certificate of attendance after completing the course
- A transcript of records mentioning the grade and the obtained ECTS
- Full support of the winter school team
- Optional online social activity