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

S-Tier
Journal: Review of Economic Studies
Year: 2018
Volume: 85
Issue: 1
Pages: 1-49

Score contribution per author:

2.681 = (α=2.01 / 3 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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 $5$.

Technical Details

RePEc Handle
repec:oup:restud:v:85:y:2018:i:1:p:1-49.
Journal Field
General
Author Count
3
Added to Database
2026-01-25