Dynamic perturbation
Dynamic perturbation
We present a novel algorithm called Dynamic Perturbation for solving large-scale macroeconomic models. Our approach involves computing first-order Taylor expansions of the policy functions along the entire equilibrium path. This method applies to a wide range of models and offers significantly higher accuracy than traditional perturbation approaches. Remarkably, even when utilizing first-order approximations, our method can effectively handle models with strong nonlinearities and occasionally binding constraints, such as the zero lower bound.
Mennuni, Alessandro
18a3b238-2d5b-4219-8d50-7c87765007a4
Rubio-Ramirez, Juan F.
ad6f652d-f3eb-437c-8cfb-39ae8e8c908f
Stepanchuk, Serhiy
ab625a3a-3db4-411f-90a4-1a2d2f9a0b17
Mennuni, Alessandro
18a3b238-2d5b-4219-8d50-7c87765007a4
Rubio-Ramirez, Juan F.
ad6f652d-f3eb-437c-8cfb-39ae8e8c908f
Stepanchuk, Serhiy
ab625a3a-3db4-411f-90a4-1a2d2f9a0b17
Mennuni, Alessandro, Rubio-Ramirez, Juan F. and Stepanchuk, Serhiy
(2024)
Dynamic perturbation.
The Review of Economic Studies.
(In Press)
Abstract
We present a novel algorithm called Dynamic Perturbation for solving large-scale macroeconomic models. Our approach involves computing first-order Taylor expansions of the policy functions along the entire equilibrium path. This method applies to a wide range of models and offers significantly higher accuracy than traditional perturbation approaches. Remarkably, even when utilizing first-order approximations, our method can effectively handle models with strong nonlinearities and occasionally binding constraints, such as the zero lower bound.
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Accepted/In Press date: 5 April 2024
Identifiers
Local EPrints ID: 489887
URI: http://eprints.soton.ac.uk/id/eprint/489887
ISSN: 0034-6527
PURE UUID: d6b9653a-5e54-498b-a5a6-467e984fc3c1
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Date deposited: 07 May 2024 16:33
Last modified: 07 May 2024 16:33
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Contributors
Author:
Alessandro Mennuni
Author:
Juan F. Rubio-Ramirez
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