Solving the incomplete markets model with aggregate uncertainty using the Krusell-Smith algorithm
Lilia Maliar,
Serguei Maliar and
Fernando Valli
Journal of Economic Dynamics and Control, 2010, vol. 34, issue 1, 42-49
Abstract:
This paper studies the properties of the solution to the heterogeneous agents model in Den Haan et al. [2009. Computational suite of models with heterogeneous agents: incomplete markets and aggregate uncertainty. Journal of Economic Dynamics and Control, this issue]. To solve for the individual policy rules, we use an Euler-equation method iterating on a grid of pre-specified points. To compute the aggregate law of motion, we use the stochastic-simulation approach of Krusell and Smith [1998. Income and wealth heterogeneity in the macroeconomy. Journal of Political Economy 106, 868-896]. 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.
Keywords: Dynamic; stochastic; models; Heterogeneous; agents; Aggregate; uncertainty; Euler-equation; methods; Simulations; Numerical; solutions (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:eee:dyncon:v:34:y:2010:i:1:p:42-49
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