EU Science Hub

DYNARE Course - Identification analysis and global sensitivity analysis for Macroeconomic Models

Nov 14 2018
Nov 16 2018

In this course, participants receive a general introduction to

  • methods of identification and global sensitivity analysis,
  • their DYNARE implementation (identification toolbox and global sensitivity analysis toolbox) and
  • their application to Dynamic Stochastic General Equilibrium (DSGE) macroeconomic models.


The course will be open to a maximum of 30 qualified and selected participants.

Please apply online

Deadline: August 10th, 2018.

Successful applicants will receive a confirmation email by no later than September 7, 2018.


Identification analysis and global sensitivity analysis (GSA) can help us in answering these questions:

  • What is the stability region of a DSGE model? Which structural parameters mainly drive the unique saddle-path solution of DSGE models?
  • What drives the sign and magnitude of impulse response functions? What parameters are mostly responsible for cross-correlations and auto-correlations of endogenous variables?
  • Which structural parameters mainly drive the fit of observables (e. g., GDP and consumption)? Is there any trade-off?
  • Is it possible to determine identifiable and non-identifiable parameters before starting estimation? Is it possible to assess ex-ante the strength of identification of parameters in an estimated DSGE models?


  • DYNARE Introduction
  • Estimation
  • Monte Carlo Filtering
  • Identification analysis of DSGE models
  • Screening methods
  • Meta-modeling and emulation
  • Hands-on sessions and exercises



The course is mainly addressed to DYNARE users.

It is also suitable for interested people that are less experienced as the course will provide a general introduction for estimating models to DYNARE.

Workshop Animators

  • Stéphane Adjemian (Univ. Maine)
  • Roberta Cardani (JRC)
  • Olga Croitorov (JRC)
  • Massimo Giovannini (JRC)
  • Stefan Hohberger (JRC)
  • Michel Juillard (Banque de France)
  • Willi Mutschler (Univ. Münster)
  • Filippo Pericoli (JRC)
  • Johannes Pfeifer (Univ. Köln)
  • Marco Ratto (JRC)


This is a "laptop only" workshop; Each participant is required to bring his/her laptop computer with MATLAB version 7.5 (R2007b) or above installed.

Wi-Fi is accessible, but participants should not rely on it to access a MATLAB license server at their own institution.

As an alternative to MATLAB, it is possible to use GNU Octave (free software, compatible with MATLAB syntax).

Fees, travel and accommodation

No fee for the course is due. Lunches, coffee breaks, a social dinner on November 15th, and course notes are provided.

Organisers will provide connections between the JRC and Milan Airports (Malpensa and Linate) and the Milano Centrale Train Station on the days of arrival and departure.

We also organize two daily connections (morning and late afternoon) between the course venue and the hotel.

The organisers have pre-booked rooms in a nearby hotel for three nights (13 to 16 November). Further information will be provided to the selected candidates.

Participants will have to cover their travel and accommodation expenses.


For any questions, please email:


European Commission, Joint Research Centre, Ispra site
via E. Fermi 2749
21027 Ispra (VA), Italy