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Dynamic Stochastic General Equilibrium Models (DSGE): 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 Stochastic General Equilibrium Models (DSGE): An Introduction," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(59), pages 25-79, July - Se.
  • Handle: RePEc:bcr:ensayo:v:1:y:2010:i:59:p:25-79

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    References listed on IDEAS

    1. Klein, Paul, 2000. "Using the generalized Schur form to solve a multivariate linear rational expectations model," Journal of Economic Dynamics and Control, Elsevier, vol. 24(10), pages 1405-1423, September.
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    7. Binder,M. & Pesaran,H.M., 1995. "Multivariate Rational Expectations Models and Macroeconomic Modelling: A Review and Some New Results," Cambridge Working Papers in Economics 9415, Faculty of Economics, University of Cambridge.
    8. McCallum, Bennett T., 1998. "Solutions to linear rational expectations models: a compact exposition," Economics Letters, Elsevier, vol. 61(2), pages 143-147, November.
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    13. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
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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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