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  • 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
 
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