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Overview
The five days will at the University of Surrey consist of foundations course aimed at early researchers with some knowledge of Real Business Cycle (RBC) or Dynamic Stochastic General Equilibrium (DSGE) macroeconomic models, but little or no experience of Dynare.
What you will learn
This Online Summer School on Foundations of DSGE Macro-Modelling assumes a basic knowledge of Matlab and will begin with the basics of Dynare and proceed to the construction, in stages, of a closed economy New Keynesian (NK) DSGE model.
It will then progress to the estimation of the model by Bayesian methods and finish by showing how the model can be used to study optimal monetary policy and open NK DSGE model.
Programme Structure
Courses include:
- Dynare Basics
- RBC Model
- Calibration and Use of an External Steady State
- Linearisation
- The New Keynesian (NK) Model
- Stability-Indeterminacy
- Preparing the Data
- Identification and Pre-estimation Checks
- Direct Linear Estimation of the Non-Linear NK Model
Key information
Duration
- Part-time
- 5 days
Start dates & application deadlines
- StartingApply anytime.
Language
English
Delivered
Online
Campus Location
- Guildford, United Kingdom
Disciplines
Economics View 45 other Short Courses in Economics in United KingdomWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Entry requirements:
- This course is aimed at those with some knowledge of RBC and NK models but little or no experience of setting them up in Dynare.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents1350 GBP / full≈ 1350 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents1350 GBP / full≈ 1350 GBP / full
Additional Details
- Students: 525
- Academics: 1,000
- Non-academic participants: 1,350
Funding
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