In the Complexity and Economic Behaviour track you focus on the complex analyses governing today's economic markets. This track is 1 of 4 tracks you can opt for in our Master's in Econometrics.
In the Complexity and Economic Behaviour track you will study economic theory, and learn about the complex calculations that govern today's advanced market configurations and pricing structures. Our teaching staff has a high regard for critical thought, so expect challenging discussions and a steep learning curve.
Apart from the 4 general courses of the full programme, you will follow 5 track-specific courses and electives.
In this course you will analyse non-linear dynamical systems with applications in economics and financial markets.
Choose 1 out of 2 courses:
Network analysis helps to put structure in complex big data sets from social networking sites and financial data. In this course you will get thorough training in network analysis. You will cover network theory, simulation and empirics from an economic and from a data science point of view.
Economic theory assumes that agents (households and firms) are perfectly rational in making their decisions. However, this assumption is often too demanding. In this course you will focuses on the analysis of behavioural models in macroeconomics and finance with agents who are not fully rational, but behave more in accordance with experimental evidence.
Choose 1 out of 5 courses:
Analyse a proposed new model of research funding distribution from a game theoretical point of view. Rather than applying for grants through writing research proposals, peers can distribute the funding freely among themselves. The main point of concern is that researchers will conspire and form a coalition to improve their own funding. Show that the game is indeed vulnerable to coalitions in general.
Examples of relevant issues that could be discussed in your classroom.
|Degree programme||MSc Econometrics|
|Type||Regular study programme|
|Credits||60 ECTS, 12 months|
|Language of instruction||English|