The Budapest School for Central Bank Studies offers intensive weekly courses in macroeconomics, monetary economics, international economics, banking and financial economics and quantitative and econometric methods specifically tailored to the needs of Central Banks.
Courses are open to officials and also to PhD students.
July 23-27, 2018
Econometric techniques for large data sets
Dimitris Korobilis (University of Essex)
- Univariate classical inferencial procedures with many predictors (extreme bounds, dynamic factors, forecast combinations)
- Univariate Bayesian approaches with many predictors (basic methods, Srinkage priors, Bayesian model averaging)
- Multivariate inference (Bayesian VARs, FAVAR, Large Bayesian VARs).
- Machine Learning (ML) algorithms (Supervised learning, Bayesian deep learning, General strategies for inference, Distributed computation)
- Machine Learning (ML) algorithms for high-dimensional inference in regression and VAR models (Random projections, Random forests
- Scalable approximations, Belief propagation and message passing algorithms)
July 30 –August 3, 2018
Macroeconomics at the Zero Lower Bound
Mathias Trabandt (Freie Universitat Berlin)
- The Canonical New-Keynesian model with search and matching and financial frictions.
- Effects of fiscal policy in normal times vs. deep recessions (zero or effective lower bound).
- The fiscal multiplier in the linearized vs. fully nonlinear New-Keynesian model.
- Importance of real rigidities for the multiplier: Kimball vs. Dixit-Stiglitz aggregators.
- Assessing self-financing fiscal stimulus and self-defeating fiscal consolidations.
- Solution techniques for models with frictions and constraints.
Application deadline: June 30, 2018
A 1,400 euro fee per week will be charged for the courses (special offer of one free if three people form the same institution apply (4 for the price of 3)) . A typical weekly session consists of five days with four hours of classes each day. Weekends are off. The fee includes course material, a social event per week. Participants cover their own travel, accommodation, catering expenses and bring their own laptop with Matlab Plus R and Dynare for the exercise session.
For more information click "LINK TO ORIGINAL" below.
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