Artikel
How to solve dynamic stochastic models computing expectations just once
We introduce a computational technique- precomputation of integrals - that makes it possible to construct conditional expectation functions in dynamic stochastic models in the initial stage of a solution procedure. This technique is very general: it works for a broad class of approximating functions, including piecewise polynomials; it can be applied to both Bellman and Euler equations; and it is compatible with both continuous-state and discrete-state shocks. In the case of normally distributed shocks, the integrals can be constructed in a closed form. After the integrals are precomputed, we can solve stochastic models as if they were deterministic. We illustrate this technique using one- and multi-agent growth models with continuous-state shocks (and up to 60 state variables), as well as Aiyagari's ( 1994) model with discrete-state shocks. Precomputation of integrals saves programming efforts, reduces computational burden, and increases the accuracy of solutions. It is of special value in computationally intense applications. MATLAB codes are provided.
- Language
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Englisch
- Bibliographic citation
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Journal: Quantitative Economics ; ISSN: 1759-7331 ; Volume: 8 ; Year: 2017 ; Issue: 3 ; Pages: 851-893 ; New Haven, CT: The Econometric Society
- Classification
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Wirtschaft
Optimization Techniques; Programming Models; Dynamic Analysis
Computational Techniques; Simulation Modeling
Computable General Equilibrium Models
- Subject
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Dynamic model
precomputation
numerical integration
dynamic programming
value function iteration
Bellman equation
Euler equation
envelope condition method
endogenous grid method
Aiyagari model
- Event
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Geistige Schöpfung
- (who)
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Judd, Kenneth L.
Maliar, Lilia
Maliar, Serguei
Tsener, Inna
- Event
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Veröffentlichung
- (who)
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The Econometric Society
- (where)
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New Haven, CT
- (when)
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2017
- DOI
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doi:10.3982/QE329
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Judd, Kenneth L.
- Maliar, Lilia
- Maliar, Serguei
- Tsener, Inna
- The Econometric Society
Time of origin
- 2017