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Convergence of Computed Dynamic Models with Unbounded Shock

Kenichiro McAlinn, Kosaku Takanashi

arXiv 11 Mar 2021 · Econometrics

arXiv:2103.06483 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This paper studies the asymptotic convergence of computed dynamic models when the shock is unbounded. Most dynamic economic models lack a closed-form solution. As such, approximate solutions by numerical methods are utilized. Since the researcher cannot directly evaluate the exact policy function and the associated exact likelihood, it is imperative that the approximate likelihood asymptotically converges -- as well as to know the conditions of convergence -- to the exact likelihood, in order to justify and validate its usage. In this regard, Fernandez-Villaverde, Rubio-Ramirez, and Santos (2006) show convergence of the likelihood, when the shock has compact support. However, compact support implies that the shock is bounded, which is not an assumption met in most dynamic economic models, e.g., with normally distributed shocks. This paper provides theoretical justification for most dynamic models used in the literature by showing the conditions for convergence of the approximate invariant measure obtained from numerical simulations to the exact invariant measure, thus providing the conditions for convergence of the likelihood.

Citation extraction

12
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29
in-text mentions
12
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5,200
main-text words

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Santos and Peralta-Alva (2005) Accuracy of simulations for stochastic dynamic models1.00084100%
2Fernandez-Villaverde, Rubio-Ramirez, and Santos (2006) Convergence Properties of the Likelihood of Computed Dynamic Models0.92810480%
3Futia (1982) Invariant distributions and the limiting behavior of Markovian economic models0.64422100%
4Dudley (2002) Real analysis and probability, volume 74 of Cambridge Studies in Advanced Mathematics0.40511100%
5Kamihigashi and Stachurski (2016) Seeking ergodicity in dynamic economies0.40511100%
6Kamihigashi (2007) Stochastic optimal growth with bounded or unbounded utility and with bounded or unbounded shocks0.40511100%
7Munkres (2000) Topology0.40511100%
8Nishimura and Stachurski (2005) Stability of Optimal growth models: a new approach0.40511100%
9Smets and Wouters (2007) Shocks and frictions in US business cycles: A Bayesian DSGE approach0.40511100%
10Stachurski (2002) Stochastic Optimal growth with unbounded shock0.40511100%

Showing the top 10 of 12 scored citations.