Accueil
Staging
M4.0 : Data and calibration - basics
Autres liens
Ermeeth Project
Autre nom
Chapter 1: Introduction to CGE model
Chapter 2: A simple Walrasian CGE model
Chapter 3: A simple Keynesian CGE model
Chapter 4: A simple Neo-Keynesian model
Chapter 5: Data calibration ThreeME
equations_02.0
equations_02.1
equations_02.2
equations_03.1
exogenous_02.0
exogenous_02.1
exogenous_02.2
exogenous_03.1
glossary_02.0
glossary_02.1
glossary_02.2
glossary_03.1
Introduction to energy and macroeconomic models
M1.1 : Introduction to energy and macroeconomic models
The ThreeME model
M1.2 : ThreeME models
Modules 3: Macroeconomic models - basics
M3.1 : Macroeconomic models - basics
Modules 3: a small neo-keynesian model
M3.2 : A small neo-keynesian model
Modules 3: a small neo-keynesian model - Open Economy
M3.3 : A small neo-keynesian model - Open Economy
Sensitivity Shock G
M3.4 : Sensitivity Shock G
Sensitivity Shock G on open economy
M3.5 : Sensitivity Shock G on open economy
M4.0 : Data and calibration - basics
Module 4: Data and calibration - basics
M5.0 : ThreeME in detail
ThreeME in detail
M5.1 : ThreeME in detail - ThreeME training
ThreeME code structure
M5.2 : ThreeME code structure
ThreeME in detail
Installation
Simulation Input Configuration
Output templates configuration
Simulation output database: `data_full`
Scenarii calibration
The `Main.R` file
Github basics
Kamatera Basics
Cloning a (clean) branch to an external repository
Add to git ignore
Linking RStudio to your GitHub account
How to use fittarget function for dynamic calibration
Quarto Websites
How to calibrate a shock
Threeme R structure
A small introduction of M3.1 here… Woking in progress…
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