Dynamic Stochastic General Equilibrium-Vector Autoregression (DSGE-VAR) Models and Forecasting

Key information

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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.

This course will be conducted through the Zoom platform. The University and the lecturers are used to doing online teaching and have state-of-the-art systems to do so. We will limit the number of participants on the course and have additional lecturers per room to ensure a highly interactive experience. Though we will do our best to record all the sessions, we are expecting participants to attend them live to enable you to interact with lecturers and ask questions. We will continue to have coffee breaks to allow for networking.

It will cover the theoretical aspects of the techniques, in addition, it is very hands-on and you will have carefully implemented exercises where you need to modify parts of the codes. This will be done in the lectures, both in groups and with the help of the instructors. You'll receive solutions to all exercises and will be provided with computer codes that you may then use in your own research.

    This course can also be taken as part of:

    Software

    Please note that all participants are required to have their own copy of Matlab since you will be using your own computers. You can download a 30-day free trial of the software beforehand.

    Course content

    This course will look at:

    • Finite vector autoregression (VAR) approximation to solutions of dynamic stochastic general equilibrium (DSGE) models
    • DSGE-VAR estimation
    • DSGE forecasts in a Bayesian framework
    • Estimation and out-of-sample forecasting.

    Conference

    On the final day of the course, we will hold an optional conference. The two keynote speakers are Professor Morten Ravn (UCL) and Professor Kjetil Storesletten (University of Oslo).

    You are invited to submit a paper on some aspect of DSGE modelling. We will select five or six papers to be presented in full with discussants. The deadline for paper submission will be 3 August. Notification of acceptance to present a paper in full or in the poster session will be communicated by 10 August.

    Learning and teaching methods

    You will be sent computer codes, lecture notes, and slides ahead of the course and will also receive direct assistance before the Summer School starts in order to set up all the systems ahead of the online events.

    There will be opportunities to discuss your projects and research ideas. This will occur both informally during the virtual coffee breaks and virtual dinners, as well as formally during the conference. After the Summer School, lecturers will be available to answer questions and discuss your projects.

    Entry requirements

    Applicants must have:

    • A background in economics
    • A working knowledge of English
    • A knowledge of RBC and NK models.

    Fees and funding

    Price per person:

    £325 (down from £450)

    Non-academic participants

    £200 (down from £275)

    Academics

    £150 (down from £200)

    Students

    What these fees include

    The price includes the optional conference.

    How to apply

    Deadline for applications is 17 August 2020, but we encourage you to apply as soon as possible as the places will be allocated using a rolling selection process.

    If your application is successful, you will receive an email offering you a place and you will have two weeks to pay the full fees balance to secure this.

    Apply now

    Terms and conditions

    When you accept an offer of a place at the University of Surrey, you are agreeing to comply with our policies and regulations and our terms and conditions. You are also confirming you have read and understood the University's prospective student privacy notice.

    Further details of our terms and conditions will follow.

    Disclaimer

    This online prospectus has been prepared and published in advance of the commencement of the course. The University of Surrey has used its reasonable efforts to ensure that the information is accurate at the time of publishing, but changes (for example to course content or additional costs) may occur given the interval between publishing and commencement of the course. It is therefore very important to check this website for any updates before you apply for a course with us. Read the full disclaimer.

    Course location and contact details

    Campus location

    Stag Hill

    Stag Hill is the University's main campus and where the majority of our courses are taught. 

    Centre for International Macroeconomic Studies
    Address

    University of Surrey
    Guildford
    Surrey GU2 7XH