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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

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    File Function: Spanish version (versión en Español)
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    References listed on IDEAS

    1. Bell, William R & Hillmer, Steven C, 1984. "Issues Involved with the Seasonal Adjustment of Economic Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 291-320, October.
    2. Findley, David F, et al, 1998. "New Capabilities and Methods of the X-12-ARIMA Seasonal-Adjustment Program," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 127-152, April.
    3. Nerlove, Marc & Grether, David M. & Carvalho, José L., 1979. "Analysis of Economic Time Series," Elsevier Monographs, Elsevier, edition 1, number 9780125157506 edited by Shell, Karl.
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    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


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