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The Dynamic Analysis of Forward-Looking Models

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Analyses in Macroeconomic Modelling

Part of the book series: Advances in Computational Economics ((AICE,volume 12))

Abstract

This paper discusses the computation and interpretation of eigenvalues of forward-looking models. It expands results already present in Blanchard and Kahn (1980) to the case where there are singularities in the dynamics of the model. Anderson and Moore (1985) had proposed an iterative procedure based on successive singular value and QR decompositions. We introduce here a direct application of generalized eigenvalue methods.2 Finally, the paper presents an application of this methodology to discuss monetary policy rules in the framework of Fuhrer and Moore (1995) model.

I thank Douglas Laxton and Pierre Malgrange for many suggestions in the preparation of this paper. I remain however sole responsible for any remaining errors.

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References

  • Anderson, G and G Moore (1985), “A Linear Algebraic Procedure for Solving Linear Perfect Foresight Models”, Economics Letters, Vol. 17, pp. 247–252.

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  • Blanchard, O and C Kahn (1980), “The Solution of Linear Difference Models under Rational Expectations”, Econometrica, Vol. 48, pp. 1305–1311.

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  • Golub, G and C Van Loan (1989), Matrix Computations The John Hopkins University Press, Baltimore.

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  • Fuhrer, J and G Moore (1995), “Monetary Policy Trade-offs and the Correlation between Nominal Interest Rates and Real Output”, American Economic Review, Vol. 85 (1), pp. 219–39.

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  • Juillard, M (1996), “DYNARE: A Program for the Resolution and Simulation of Dynamic Models with Forward Variables through the Use of a Relaxation Algorithm”, CEPREMAP Working paper No. 9602, Paris.

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  • Klein, P (1997), “Using the Generalized Schur Form to Solve a System of Linear Expectational Difference Equations”, Institute for Economic Studies, Stockholm University.

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© 1999 Springer Science+Business Media New York

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Juillard, M. (1999). The Dynamic Analysis of Forward-Looking Models. In: Hallett, A.H., McAdam, P. (eds) Analyses in Macroeconomic Modelling. Advances in Computational Economics, vol 12. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5219-2_9

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  • DOI: https://doi.org/10.1007/978-1-4615-5219-2_9

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7378-0

  • Online ISBN: 978-1-4615-5219-2

  • eBook Packages: Springer Book Archive

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