Training Program - Budapest School for Central Bank Studies, 2018, Hungary

Publish Date: Jun 25, 2018

Deadline: Jun 30, 2018

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)

Topics covered

  • 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)

Topics covered

  • 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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