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Mathematica code for solving and simulating RBC models

Author

Listed:
  • Diallo Ibrahima Amadou

    (CERDI)

Programming Language

Mathematica

Abstract

This notebook illustrates how to solve and simulate a Real Business Cycle (RBC) model using Mathematica. It starts from finding the first order conditions, then derives the steady-state, log-linearizes and solves the RBC model. After solving the model, the notebook first computes the impulse response functions and then simulates the model. It ends by calculating some second moments statistics of the RBC model. When we want to solve a RBC model, soon or later, we will need to use a software. This notebook demonstrates how to do this using Mathematica without having the need to use paper and pencil to derive the equilibrium conditions and log-linearize the model first, and then use a numerical software to perform the simulations. In this notebook, all these steps are done with Mathematica and fully explained in detail.

Suggested Citation

  • Diallo Ibrahima Amadou, 2012. "Mathematica code for solving and simulating RBC models," QM&RBC Codes 195, Quantitative Macroeconomics & Real Business Cycles.
    • Handle: RePEc:dge:qmrbcd:195
    as

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    File URL: https://dge.repec.org/codes/amadou/SolvingAndSimulatingRBCModels.zip
    File Function: program code
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    More about this item

    Keywords

    Mathematica;

    Statistics

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