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Using the Kalman filter to smooth the shocks of a dynamic stochastic general equilibrium model

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Listed:
  • Andrew Bauer
  • Nicholas Haltom
  • Juan F. Rubio-Ramirez

Abstract

This paper shows how to use the Kalman filter (Kalman 1960) to back out the shocks of a dynamic stochastic general equilibrium model. In particular, we use the smoothing algorithm as described in Hamilton (1994) to estimate the shocks of a sticky-prices and sticky-wages model using all the information up to the end of the sample.

Suggested Citation

  • Andrew Bauer & Nicholas Haltom & Juan F. Rubio-Ramirez, 2003. "Using the Kalman filter to smooth the shocks of a dynamic stochastic general equilibrium model," FRB Atlanta Working Paper 2003-32, Federal Reserve Bank of Atlanta.
    • Handle: RePEc:fip:fedawp:2003-32
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    File URL: https://www.frbatlanta.org/-/media/documents/research/publications/wp/2003/wp0332.pdf
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    References listed on IDEAS

    as
    1. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 147-180.
    2. Marimon, Ramon & Scott, Andrew (ed.), 1999. "Computational Methods for the Study of Dynamic Economies," OUP Catalogue, Oxford University Press, number 9780198294979.
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    2. Mr. Pau Rabanal, 2018. "An Estimated DSGE Model to Analyze Housing Market Policies in Hong Kong SAR," IMF Working Papers 2018/090, International Monetary Fund.

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