IDEAS home Printed from
   My bibliography  Save this paper

Dynamic and Stochastic General Equilibrium (DSGE) Models: An Introduction


  • Guillermo Escudé

    () (Central Bank of Argentina)


Dynamic and Stochastic General Equilibrium (DSGE) models have become a frequent choice of modeling methodology for complex dynamic and stochastic phenomena in different branches of economics. They are increasingly used by decision-makers to analyze various policy decisions or to generate rigorous forecasts. This paper seeks to provide a first approximation to this fascinating field within the mathematical modeling of human endeavor. It synthesizes how DSGE models are constructed and also illustrates how they are solved and how their parameters are calibrated or econometrically estimated, using software especially designed for such a purpose.

Suggested Citation

  • Guillermo Escudé, 2010. "Dynamic and Stochastic General Equilibrium (DSGE) Models: An Introduction," BCRA Working Paper Series 201047, Central Bank of Argentina, Economic Research Department.
  • Handle: RePEc:bcr:wpaper:201047

    Download full text from publisher

    File URL:
    File Function: Spanish version (versión en Español)
    Download Restriction: no

    More about this item


    DSGE models; bayesian estimation;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bcr:wpaper:201047. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Federico Grillo). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.