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Computing the Distributions of Economic Models via Simulation Author info | Abstract | Publisher info | Download info | Related research | Statistics John Stachurski
Vance Martin
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We study a Monte Carlo algorithm for computing marginal and stationary densities of stochastic models with the Markov property, establishing global asymptotic normality and O(n^(1/2)) convergence. Asymptotic normality is used to derive error bounds in terms of the distribution of the norm deviation. Copyright The Econometric Society 2008.
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Article provided by Econometric Society in its journal Econometrica .
Volume (Year): 76 (2008)
Issue (Month): 2 (03)
Pages: 443-450
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Handle: RePEc:ecm:emetrp:v:76:y:2008:i:2:p:443-450Contact details of provider: Phone: 1 212 998 3820 Fax: 1 212 995 4487 Email: Web page: http://www.econometricsociety.org/ More information through EDIRC
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"Stability of stochastic optimal growth models: a new approach ,"
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Elerian, O. & Chib, S. & Shephard, N., 1998.
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"Establishment size dynamics in the aggregate economy ,"
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Other versions: Nishimura, Kazuo & Rudnicki, Ryszard & Stachurski, John, 2006.
"Stochastic optimal growth with nonconvexities ,"
Journal of Mathematical Economics ,
Elsevier, vol. 42(1), pages 74-96, February.
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