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The Pruned State-Space System for Non-Linear DSGE Models: Theory and Empirical Applications

Open access
Andreasen, Martin M, Fernández-Villaverde, Jesús, Rubio-Ramírez, Juan F·2018·The Review of Economic Studies

Abstract

This article studies the pruned state-space system for higher-order perturbation approximations to dynamic stochastic general equilibrium (DSGE) models. We show the stability of the pruned approximation up to third order and provide closed-form expressions for first and second unconditional moments and impulse response functions. Our results introduce generalized method of moments (GMM) estimation and impulse-response matching for DSGE models approximated up to third order and provide a foundation for indirect inference and simulated method of moments (SMM). As an application,we consider a New Keynesian model with Epstein–Zin preferences and two novel feedback effects from long-term bonds to the real economy, allowing us to match the level and variability of the |$10$|-year term premium in the U.S. with a low relative risk aversion of |$5$|⁠.

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Metadata

Authors
Andreasen, M. M., Fernández-Villaverde, J., & Rubio-Ramírez, J. F.
Venue
The Review of Economic Studies
Published
2017-06-28
Volume
85
Issue
1
Pages
1-49
ISSN
  • 0034-6527 (ISSN-L)
  • 1467-937X
OpenAlex
W2923803554
Cited by
167
References
2
FWCI
25.88
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The Pruned State-Space System for Non-Linear DSGE Models: Theory and Empirical Applications. https://app.cochat.ai/papers/10.1093/restud/rdx037
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Andreasen, M. M., Fernández-Villaverde, J., & Rubio-Ramírez, J. F. (2018). The Pruned State-Space System for Non-Linear DSGE Models: Theory and Empirical Applications. The Review of Economic Studies. https://doi.org/10.1093/restud/rdx037

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