Training Schools

We are pleased to announce details of the latest EABCN Training School; a two-day course entitled “Fiscal Policy: Estimating Causal Evidence and Positive Theory”. Professor Morten Ravn will teach the course. It is primarily aimed at participants in the Euro Area Business Cycle Network but applications will also be considered from doctoral students, post-doctoral researchers and economists working in central banks and government institutions outside of the network, as well as commercial organisations (fees are applicable for non-network non-academic organisations).

Note that due the global COVID-19 outbreak this course will be held online.

Domenico Giannone (Fed NY) and Giorgio Primiceri (Northwestern) will be the instructors of a course that covers methods designed to deal with prediction with “big data” in macroeconomics, and to conduct structural analysis. 

Prof. Benjamin Moll (University of Princeton) will teach a course that will develop tools for the analysis and numerical solution of heterogeneous agent models in continuous-time focusing in particular on numerical solutions techniques using finite difference methods.

The 27th EABCN training school will be a three days course on 'Practical DSGE Models' taught by Professor Fabio Canova (BI Norwegian School of Management). Most DSGE model used by policy institutions are generally of large scale and little attention is generally paid to issues like model misspecification, model evaluation, model reduction and re-specification. This course offers hints on how one can address these all these issues in a unified way and make economic analyses more robust.