Courses

Advanced Econometrics 2 is aimed at teaching a range of cross-sectional, panel, and time series econometric techniques useful in applied research. More specifically, most of the course will focus on recent developments in program evaluation, but the first couple of lectures will cover some advanced time series...
Instructor: Robert Lieli
Credits: 2.0
The course covers a range of topics in the field of economic growth. The focus is on macro facts and macro models of growth and development, including models of exogenous and endogenous growth, structural change, uncertainty, convergence, path dependence, and multiple equilibria.
Instructor: István Kónya
Credits: 2.0
International Macroeconomics and Finance asks questions like ‘Are business cycles in different economies all alike?’, ‘How macroeconomic fluctuations are linked together across countries?’, ‘Why are international relative price persistent?’, ‘Are there border effects in price differentials’, ‘Is capital flowing from...
Instructor: Attila Rátfai
Credits: 2.0
for PhD in Economics and MA in Economics 1st Year students
Instructor: Max Gillman
Credits: 2.0
This econometrics eld course is aimed at giving a brief introduction to the statistical theory of nonparametric density and regression function estimation. I discuss several statistical and econometric applications with cross-sectional (i.i.d.) data.
Instructor: Robert Lieli
Credits: 2.0
In the course we discuss numerical techniques for solving dynamic stochastic general equilibrium models on the computer, with a special focus on heterogeneous agent models.The main programming tool will be a toolkit written by myself in the new programming language Julia, which is not difficult to handle for students...
Instructor: Michael Reiter
Credits: 2.0