Easter schools

We have been holding an Easter School on Stag Hill campus every year since April 2015.


The main goal of the course is to provide 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. We require participants to have some prior experience with macroeconomic models and dynamic optimization and a basic knowledge of Matlab, but no prior knowledge of Dynare is necessary.


The course is primary aimed at

  • 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.

We have had participants at our Easter and Summer Schools representing over 350 institutions from all over the world, including leading central banks and leading universities:

  • Banca d'Italia
  • Banco de Portugal
  • Banque de france
  • Bank of England
  • Central Bank of Chile
  • Central Bank of Hungary
  • Central Bank of Ireland
  • Central Bank of Nigeria
  • Central Bank of Trinidad and Tobago
  • Deutsche Bundesbank
  • Dutch Central Bank
  • European Central Bank
  • Sveriges Riksbank
  • Council for Budget Responsibility, Slovakia
  • FUJITSU Research Institute
  • Gaidar Institute for Economic Policy
  • Indian Institute of Foreign Trade
  • Indian Statistical Institute, Delhi, India
  • International Labour Organization
  • Ministry of Finance, Norway
  • National Institute of Public Finance and Policy
  • The SEACEN Centre, Kuala Lumpur, Malaysia
  • World Bank
  • Athens University of Economics and Business
  • BI Norwegian Business School
  • Birkbeck College, London
  • Cardiff University
  • Charles University
  • City University of London
  • Cracow University of Economics
  • Delhi School of Economics, University of Delhi
  • Dongguk University, Seoul, Republic of Korea
  • Federal University Ndufu-Alike Ikwo
  • Geneva Graduate Institute, Department of International Economcis
  • Georgia State University
  • Glasgow Caledonian University
  • HU Berlin
  • Indian Institute of Management Indore
  • International School of Economics at Tbilisi State University (ISET)
  • King's College London
  • King Saud University
  • KU Leuven
  • La Sapienza University of Rome
  • Lomonosov Moscow State University
  • London School of Economics
  • National University of Singapore
  • NRU Higher School of Economics
  • Paris-Dauphine University
  • Poznan University of Economics
  • Queen Mary University of London
  • Universidad de Alicante
  • Universidad de Vigo
  • Université Paris 1- Paris School of Economics
  • University College London
  • University of Leicester
  • University of Amsterdam
  • University of Antwerp
  • University of Bath
  • University of Birmingham
  • University of Dundee
  • University of Durham
  • University of Essex
  • University of Gdansk
  • University of Glasgow
  • University of Helsinki
  • University of Johannesburg
  • University of Kent
  • University of Leeds
  • University of Leicester
  • University of Liverpool
  • University of Lodz
  • University of Manchester
  • University of Milan
  • University of Münster
  • University of New England - Australia
  • University of Nottingham
  • University of Oxford

    Course contents

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

    The table below contains links to the detailed programme of each year's Easter School.

    Easter School



    CIMS Easter School 2020

    20-23 April 2020

    View full programme (PDF)
    CIMS Easter School 2019

    9-12 April 2019

    View full programme (PDF)
    CIMS Easter School 2018

    16-18 April 2018

    View full programme (PDF)

    CIMS Easter School 2017

    24-26 April 2017

    View full programme (PDF)

    CIMS Easter School 2016

    13-15 April 2016

    View full programme (PDF)

    CIMS Easter School 2015

    20-22 April 2015

    View full programme (PDF)

    One-day conference

    As part of the CIMS Easter School 2020, we will hold a one-day conference on the last day of the course. 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. Keynote speakers of past conferences included Davide DebortoliSeppo HonkapohjaAlbert Marcet and Tommaso Monacelli. We are happy to announce that the speaker for this year’s conference is Gianluca Benigno.


    The courses have been taught by the following instructors over the years:


    Years taught

    Cristiano Cantore

    2017, 2018

    Vasco Gabriel

    2015, 2016, 2017, 2018, 2019, 2020

    Paul Levine

    2015, 2016, 2017, 2018, 2019, 2020

    Ricardo Nunes


    Maryam Mirfatah

    2019, 2020

    Jonathan Swarbrick



    All sessions of the course take place in the Austin Pierce building on our campus. All practical sessions are held in computer labs. We provide computers to all participants with Matlab and Dynare already installed and set up, but participants are also welcome to bring their own laptop. Course notes and model software are all included in the price of the course.

    Austin Pearce Building exterior at night with lights in fountain


    We provide a three course lunch for our participants every day in the on-campus Lakeside Restaurant.

    Lakeside Restaurant interior

    We also invite our participants to a course dinner, which traditionally takes place in Olivo.

    Olivo restaurant


    Our campus is located in Guildford in the Surrey Hills. Guildford is 35 minutes by train from London and can be reached by car from both Heathrow and Gatwick Airports in only 45 minutes. You can find more information on how to reach our campus here.

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

      580 Guildford High Street M

      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.

      A snapshot of Guildford and our campus

      Get a feel for what to expect to see when you visit us by browsing our gallery.

      Contact us

      Find us

      School of Economics
      Elizabeth Fry Building (AD)
      University of Surrey
      GU2 7XH