Summer schools

We have been holding a summer school every year on Stag Hill campus since September 2012.

Overview

Given the spread of Covid-19 and the difficulty in air travel we have decided to deliver the summer school in an online format. This decision has been made to ensure the safety of our participants, our colleagues, and all those involved.

The summer school in 2020 was also held online, it was very successful and enabled many participants to attend from all over the world without the need to travel.

Programme

Two four-day courses run in parallel to each other:

Advanced topics in Macro-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.

Foundations of DSGE Macro-Modelling

The main goal of the Foundations of DSGE Modelling courses 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 foundations and advanced courses run in parallel for four days. Then on day five and six, participants are able to choose one option per day of the standalone courses. All options can be chosen by all participants from both the foundations and advanced courses free of charge. Participants not attending the parallel courses on the first week will be able to register for the options.

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
7. Credit Market Imperfections and Poverty Traps
8. Tractable Heterogeneous Agents Models (TANK/HANK)

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 Macroeconomics or DSGE modelling.

The organisers select four or five papers to be presented in full with discussants. Keynote speakers of past conferences included Seppo Honkapohja, Albert Marcet, Tommaso Monacelli, Kjetil Storesletten, and Morten Ravn.

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.

Upcoming courses

Our courses featured in the Top Summer Schools in Economics 2020, in Inomics.

Students can either apply for one of the full summer school courses, or they can attend one or two of the stand-alone courses. Both offer a conference on Wednesday 15 September.

Stand-alone

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

Tamon Asonuma2021Sovereign debt and default

Cristiano Cantore

2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

Foundations, financial frictions, Tractable Heterogeneous Agents Models

Szabolcs Deak

2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

Foundations, 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, 2021

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, 2021Credit Market Imperfections and Poverty Traps 

Martin Kaae Jensen

2019, 2021

Robust Qualitative Methods for Macro

Hyungseok Joo2020, 2021Advanced Topics, Sovereign Debt and Default

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

Silvia Miranda-Agrippino2021Empirical Identification of Macroeconomic Shocks
Maryam Mirfatah2020, 2021Foundations

Afrasiab Mirza

2017, 2018, 2019, 2020

DSGE-VAR models and forecasting, financial frictions

Ricardo Nunes

2018, 2019, 2020, 2021

Foundations, Advanced Topics, Optimal policy

Rigas Oikonomou

2020, 2021Advanced Topics, Heterogeneous Agents and Wealth Accumulation

Mario Pascoa

2021Financial 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, 2021Foundations

Kirill Shakhnov

2020, 2021Foundations, Advanced Topics, Sovereign Debt and Default
Kjetil Storesletten2021Advanced 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

Alessio Volpicella2021Foundations
Bo Yang2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019Foundations, 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.

YearDateProgramme
20217 - 15 SeptemberView full programme (PDF)
20207 - 11 SeptemberView full programme (PDF)
20199 - 14 SeptemberView full programme (PDF)
20183 - 8 SeptemberView full programme (PDF)
20174 - 8 SeptemberView full programme (PDF)
201630 August - 3 SeptemberView full programme (PDF)
20157 - 11 SeptemberView full programme (PDF)
20148 - 13 SeptemberView full programme (PDF)
201310 - 13 SeptemberView full programme (PDF)
201210 - 13 SeptemberView full programme (PDF)

Contact us

Find us

Address

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