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Networks in Micro- and Macroeconomics

July 3-7, 2023 in Amsterdam, Zuidas (CONFIRMED)

 

Faculty

Andrei Levchenko is the John W. Sweetland Professor of International Economics at the University of Michigan, Editor-in-Chief of IMF Economic Review, and the Director of the International Trade and Macroeconomics program of the Central Bank Research Association.

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) and the Swiss Economic Institute (KOF)

Meet the lecturers

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 digital data sources. This course offers a concise introduction into the most recent economic models and econometric methods developed for processing, visualizing and learning from network data. We provide a comprehensive approach for analyzing networks, both, from microeconomic as well as macroeconomic perspectives. This will provide course participants with a generic network analysis toolbox that can then be applied to particular environments and applications, depending on idiosyncratic needs and interests. To further aid the understanding of network concepts and methods the course will combine lectures with hands-on empirical and programming exercises.

Learning Objectives

Upon successful completion of the course, participants will:

  • become acquainted with different 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.
Daily outline:
  • 9:30-10:30: Lecture
  • 10:30-11:00: Break
  • 11:00-12:00: Lecture
  • 12:00-14:00: Lunch break
  • 14:00-15:00: Tutorial
  • 15:00-17:00 Work groups

Please check the syllabus for more extensive information (e.g. daily course schedule, reading list).

Level

The Summer School welcomes master students, advanced bachelor, PhD students, post-docs as well as practitioners who are interested in learning the most recent economic models and econometric methods developed for processing, visualizing and learning from network data. We provide a comprehensive approach for analyzing networks, both, from microeconomic as well as macroeconomic perspectives. This will provide course participants with a generic network analysis toolbox that can then be applied to particular environments and applications, depending on idiosyncratic needs and interests.

Admission requirements

The course will be accessible to advanced undergraduate and graduate students as well as practitioners from related fields.

Academic Director Professor Andrei Levchenko and associate professor Michael D. König
Degree programma Certificate
Credits Participants who joined at least 80% of all sessions and hand in the solutions to the exercises by the end of the week receive a certificate of participation stating that the summer school is equivalent to a workload of 3 ECTS. Note that it is the student’s own responsibility to get these credits registered at their own university.
Mode Short-term
Language English
Venue Tinbergen Institute Amsterdam, Gustav Mahlerplein 117, 1082 MS Amsterdam
Capacity 30 participants (minimum 15)
Fees Tuition Fees and Payment
Application deadline June 1, 2023
Apply here Registration is closed

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