Summer schools

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

Overview

We have decided to have a virtual Summer School (online) this year. This decision has been made to ensure the safety of our participants, our colleagues and all those involved with the Summer School.

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 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.

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.

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.

The foundations and advanced courses run in parallel for four days. Then on day five participants are able to choose one of several one day standalone courses. These courses are designed as 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
  6. From Matlab to Python in One Day.

The current course offering is listed below under 'upcoming courses.'

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. Keynote speakers of past conferences included Seppo HonkapohjaAlbert Marcet and Tommaso Monacelli.

We have had participants at our Summer Schools (PDF) representing over 350 institutions from all over the world, including leading central banks and leading universities.

Further information

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

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

Instructor

Years taught

Courses taught

Cristiano Cantore

2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020

Foundations, financial frictions, Tractable  Heterogeneous Agents Models 

Szabolcs Deak

2014, 2015, 2016, 2017, 2018, 2019, 2020

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, 2020

Foundations, emerging open economies, DSGE-VAR

Tom Holden

2014, 2015, 2016, 2017, 2018

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

Esteban Jaimovich

2020 Credit Market Imperfections and Poverty Traps 

Martin Kaae Jensen

2019, 2020

Robust Qualitative Methods for Macro

Hyungseok Joo 2020 Advanced Topics

Paul Levine

2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020

Foundations, financial frictions, emerging open economies

Antonio Mele

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

Foundations, From Matlab to Python in One Day

Afrasiab Mirza

2017, 2018, 2019, 2020

DSGE-VAR models and forecasting, financial frictions

Ricardo Nunes

2018, 2019, 2020

Foundations, Advanced Topics, Optimal policy

Rigas Oikonomou

2020 Advanced Topics

Mario Pascoa

2020 Financial Markets: Collateral, Repo, and Credit Default Swaps

Joseph Pearlman

2012, 2013, 2014, 2015, 2017, 2018

Foundations, imperfect information and advanced optimal policy, financial frictions

Luciano Rispoli

2020 Foundations

Kirill Shakhnov

2020 Foundations, Advanced Topics

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

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 2020 7-11 September 2020 View full programme (PDF)
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)

Contact us

Find us

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