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Computing DSGE Models with Recursive Preferences

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Author Info
Dario Caldara
Jesús Fernández-Villaverde
Juan F. Rubio-Ramírez
Wen Yao

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Abstract

This paper compares different solution methods for computing the equilibrium of dynamic stochastic general equilibrium (DSGE) models with recursive preferences such as those in Epstein and Zin (1989 and 1991). Models with these preferences have recently become popular, but we know little about the best ways to implement them numerically. To fill this gap, we solve the stochastic neoclassical growth model with recursive preferences using four different approaches: second- and third-order perturbation, Chebyshev polynomials, and value function iteration. We document the performance of the methods in terms of computing time, implementation complexity, and accuracy. Our main finding is that a third-order perturbation is competitive in terms of accuracy with Chebyshev polynomials and value function iteration, while being an order of magnitude faster to run. Therefore, we conclude that perturbation methods are an attractive approach for computing this class of problems.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 15026.

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Date of creation: Jun 2009
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Handle: RePEc:nbr:nberwo:15026

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Find related papers by JEL classification:
C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques
C68 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computable General Equilibrium Models
E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation

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  1. François Gourio, 2009. "Disasters Risk and Business Cycles," NBER Working Papers 15399, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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