Statistical and Econometric Analysis of Network Data

About

Learn about recent econometric methods to analyse network data.

Networks play an increasingly dominant role in many social, business, and economic environments. Moreover, network data becomes increasingly relevant and available due to the rise of online social media and digitisation.

Content Guide:

1. Examples of Networks and Data
2. Network Statistics, Visualization and Graphs
3. Econometrics of Interactions in Networks
4. Econometrics of Network Formation
5. Joint Estimation of Outcomes and Network Formation
6. Spatial Modeling Approach for Dynamic Network Formation and Interactions
7. Big Data Meets Networks

Course leader

Michael D. König

Target group

The course is accessible to advanced undergraduate and graduate students as well as professionals from related fields.
If you have doubts about your eligibility for the course, please contact us: graduatewinterschool@vu.nl.

Course aim

Upon successful completion of the course, students will:

- Become acquainted with different statistical methodologies for analysing 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 recognise, understand, and analyse societal and business problems in which networks are central.
- Learn how networks affect supply and demand in markets, how this leads to market failures, and how government policies can address these.

Fee info