9am - 5pm

Tuesday 9 April - Friday 12 April 2019

Easter School and Conference on Dynamic Stochastic General Equilibrium (DSGE) Modelling for Emerging Open Economies

Following highly successful Easter and Summer Schools in previous years, the Centre for International Macroeconomic Studies (CIMS) in the School of Economics, University of Surrey will hold a three-day Easter School followed by a one-day conference.

from £500.00 to £1000.00

Faculty of Arts and Social Sciences
University of Surrey
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This course provides instructions on the construction and estimation of Dynamic Stochastic General Equilibrium (DSGE) models for Emerging Open Economies and their use for policy analysis. It is Dynare-based and is aimed at PhD students, MSc or MRes students aiming to proceed to a PhD, early researchers and research staff from central banks, ministries and the private sector. Participants should have some prior experience with macroeconomic models.

Who should attend this Easter School?

  • PhD students and academics and who want to learn about DSGE modelling.
  • Researchers and practitioners working at central banks, as well as at other private and public institutions who intend to construct or use DSGE models.

Course contents

This course will assume a basic knowledge of Matlab programming. It will start with a brief summary of the basics of Dynare programming. Then it will proceed to the construction, simulation and estimation of a small open economy DSGE model with emerging economy features. The course will finish by showing how the estimated model can be used for policy analysis using monetary, fiscal and foreign exchange intervention instruments. The course material will cover the underlying theory and the practicalities of using Dynare.

View our full programme.

One-day conference

On Friday 12 April we will hold a one-day conference. All participants on the course are invited to submit a paper on some aspect of DSGE modelling. The organisers will select five or six papers to be presented in full with discussants, while the remaining submissions will be given the opportunity to be presented during our poster session. The deadline for paper submission will be 18 March. Notification of acceptance to present a paper in full or in the poster session will be communicated by 25 March.


The course will be taught by Prof. Paul Levine and Dr Vasco Gabriel.


The practical sessions will take place in computer labs. We provide computers to all participants with Matlab and Dynare installed and set up. For those wishing to use their own computers outside the sessions, it should be noted that Dynare is free software, but Matlab requires a license to be purchased.

Entry requirements

To be considered for admission to the course applicants must have:

  • A background in macroeconomics with some knowledge of macro-modelling and dynamic optimization
  • A basic knowledge of Matlab programming (see an overview of the Matlab features our participants are expected to know)
  • A working knowledge of English.


The fees for academics and PhD students are £500 for the 3-day course. For non-academic participants (from central banks, ministries or the private sector) the fees are £1000. Lunch, coffee, a course dinner on day 2, course notes and model software is included in this cost.  

Participants who have attended a previous CIMS course are eligible for a 10 per cent discount while participants from institutions in developing countries are eligible for a 20 per cent discount (multiple discounts are not applicable).


The deadline for applications is 26 March 2019, but we do encourage interested people to apply as soon as possible as the places will be allocated using a rolling selection process. Once your application has been reviewed, you will receive an email offering you a place and applicants will have two weeks to pay the full fees balance to secure their place.

Please use our online application form.


Guildford has a range of accommodation to suit a variety of budgets including:

Please see the Visit Surrey website for other options.

Further information

Should you require any further information or for enquiries please contact the CIMS team.

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