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Accelerating Non Linear Perfect Foresight Model Solution by Exploiting the Steady State Linearization

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Analyses in Macroeconomic Modelling

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

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Abstract

Consider the model

$$h({x_{t - \tau }},{x_{t - \tau + 1}},...{x_{t + 0 - 1}},{x_{t + 0}}) = 0$$
((1))

Where χ ∈ ℜL and h:ℜL(τ+1+θ) → ℜL. We want to determine the solutions to Equation 1 with initial conditions

$${x_i} = {\bar x_i}{\text{ }}for{\text{ }}i = - \tau ,..., - 1$$
((2))
$$\mathop {\lim }\limits_{t \to \infty } {x_t} = x*.$$
((3))

satisfying

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References

  • Anderson, Gary, and Moore, George (1985), “A Linear Algebraic Procedure For Solving Linear Perfect Foresight Models”, Economics Letters, Vol. 17.

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  • Boucekkine, Raouf (1995), “An Alternative Methodology for Solving Nonlinear Forward-Looking Models”, Journal ofEconomic Dynamics and Control, Vol. 19, pp. 711–734.

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© 1999 Springer Science+Business Media New York

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Anderson, G.S. (1999). Accelerating Non Linear Perfect Foresight Model Solution by Exploiting the Steady State Linearization. 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_3

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  • DOI: https://doi.org/10.1007/978-1-4615-5219-2_3

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7378-0

  • Online ISBN: 978-1-4615-5219-2

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