Solving the incomplete markets model with aggregate uncertainty using the Krusell-Smith algorithm
Abstract
This paper studies the properties of the solution to the heterogeneous agents model in Den Haan, Judd and Juillard (2008). To solve for the individual policy rules, we use an Euler-equation method iterating on a grid of prespecified points. To compute the aggregate law of motion, we use the stochastic-simulation approach of Krusell and Smith (1998). We also compare the stochastic- and non-stochastic-simulation versions of the Krusell-Smith algorithm, and we find that the two versions are similar in terms of their speed and accuracy.Download Info
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Paper provided by Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie) in its series Working Papers. Serie AD with number 2009-03.Length: 24 pages
Date of creation: Jan 2009
Date of revision:
Publication status: Published by Ivie
Handle: RePEc:ivi:wpasad:2009-03
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Related research
Keywords:Other versions of this item:
- Maliar, Lilia & Maliar, Serguei & Valli, Fernando, 2010. "Solving the incomplete markets model with aggregate uncertainty using the Krusell-Smith algorithm," Journal of Economic Dynamics and Control, Elsevier, vol. 34(1), pages 42-49, January.
- Lilia Maliar & Fernando Valli & Seguei Maliar, 2009. "Matlab code for "Solving the incomplete markets model with aggregate uncertainty using the Krusell-Smith algorithm"," QM&RBC Codes 180, Quantitative Macroeconomics & Real Business Cycles.
- NEP-ALL-2009-02-22 (All new papers)
- NEP-CBA-2009-02-22 (Central Banking)
- NEP-CMP-2009-02-22 (Computational Economics)
- NEP-DGE-2009-02-22 (Dynamic General Equilibrium)
References
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