Summer schools

We have been holding a Summer School every year on Stag Hill campus since September 2012.

Overview

Our Summer School currently consists of

  • Day 1-4
    Two parallel four-day courses, foundations of dynamic stochastic general equilibrium (DSGE) modelling and advanced topics in DSGE modelling.
  • Day 5
    Several one-day stand-alone courses covering a specific topic each.
  • Day 6
    A one-day conference where all participants on the courses are invited to submit a paper on some aspect of DSGE modelling.

Foundations of DSGE modelling

The main goal of the Foundations of DSGE modelling course is to provide instructions on the construction and estimation of Dynamic Stochastic General Equilibrium (DSGE) models and for their use for policy analysis. It is Dynare-based and is aimed at

  • PhD, MSc or MRes students aiming to proceed to a PhD and early researchers 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 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.

Advanced Topics in DSGE modelling

The Advanced Topics in DSGE Modelling course is aimed at more established researchers or advanced PhD students who are already fluent in Dynare and Matlab. This course will be useful to anyone who is engaged in practical macroeconomic modelling work, especially if they are interested in working with models that are either computationally expensive to simulate, highly nonlinear, or infinite dimensional thanks to heterogeneous agents.

One-day Stand-alone Course

The Foundations and Advanced courses run in parallel for four days. Then on day 5 participants are able to choose one of several one day standalone courses. These course are designed such that participants from both the Foundations and Advanced Courses can join them.

In the past the following stand-alone courses have been offered:

  1. DSGE-VAR Models and Forecasting
  2. Emerging Open Economies
  3. Financial frictions
  4. Occasionally Binding Constraints and Nonlinear Estimation
  5. Optimal Policy Applications

The course contents below contain a more detailed description of the topics taught and what was offered in each year.

One-day conference

As part of the CIMS Summer School we 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 select five or six papers to be presented in full with discussants, while the remaining submissions are given the opportunity to be presented during our poster session. Keynote speakers of past conferences included Seppo HonkapohjaAlbert Marcet and Tommaso Monacelli.

Participants

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. The file below contains a short sample of these institutions.

Course contents

More details on the content of our Summer Schools in each year can be found following the links in the table below.

Summer School

Date

Programme

CIMS Summer School 2019 9-14 September 2019 View full programme (PDF)
CIMS Summer School 2018 3-8 September 2018 View full programme (PDF)
CIMS Summer School 2017 4-8 September 2017 View full programme (PDF)
CIMS Summer School 2016 30 August-3 September 2016 View full programme (PDF)
CIMS Summer School 2015 7-11 September 2015 View full programme (PDF)
CIMS Summer School 2014 8-13 September 2014 View full programme (PDF)
CIMS Summer School 2013 10-13 September 2013 View full programme (PDF)
CIMS Summer School 2012 10-13 September 2012 View full programme (PDF)

Instructors

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

Name

Years taught

Courses taught

Cristiano Cantore

2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019

Foundations, financial frictions

Szabolcs Deak

2014, 2015, 2016, 2017, 2018, 2019

Advanced Topics, occasionally binding constraints and simple non-linear estimation

Filippo Ferroni

2013, 2014, 2015, 2016

Foundations, DSGE-VAR models and forecasting

Vasco Gabriel

2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019

Foundations, emerging open economies

Tom Holden

2014, 2015, 2016, 2017, 2018

Advanced Topics, occasionally binding constraints and simple non-linear estimation

Martin Kaae Jensen

2019

 

Paul Levine

2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019

Foundations, financial frictions, emerging open economies

Antonio Mele

2013, 2014, 2015, 2016, 2017, 2018, 2019

Foundations

Afrasiab Mirza

2017, 2018, 2019

DSGE-VAR models and forecasting, financial frictions

Ricardo Nunes

2018, 2019

Advanced Topics, Optimal policy applications

Joseph Pearlman

2012, 2013, 2014, 2015, 2017, 2018

Foundations, imperfect information and advanced optimal policy, financial frictions

Jonathan Swarbrick

2013, 2014, 2015, 2016, 2017, 2018, 2019

Advanced Topics, Foundations, imperfect information and advanced optimal policy, financial frictions, occasionally binding constraints and simple non-linear estimation

Bo Yang 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019 Foundations, DSGE-VAR models and forecasting

Venue

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

Catering

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

Guildford

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.

We usually are able to offer accommodation during our Sumer Schools on campus at competitive rates (single en-suite rooms including breakfast).

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.