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Accuracy of Simulations for Stochastic Dynamic Models
Author(s) -
Santos Manuel S.,
PeraltaAlva Adrian
Publication year - 2005
Publication title -
econometrica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 16.7
H-Index - 199
eISSN - 1468-0262
pISSN - 0012-9682
DOI - 10.1111/j.1468-0262.2005.00642.x
Subject(s) - invariant (physics) , mathematics , set (abstract data type) , property (philosophy) , statistical physics , mathematical optimization , computer science , physics , philosophy , epistemology , mathematical physics , programming language
This paper is concerned with accuracy properties of simulations of approximate solutions for stochastic dynamic models. Our analysis rests upon a continuity property of invariant distributions and a generalized law of large numbers. We then show that the statistics generated by any sufficiently good numerical approximation are arbitrarily close to the set of expected values of the model's invariant distributions. Also, under a contractivity condition on the dynamics, we establish error bounds. These results are of further interest for the comparative study of stationary solutions and the estimation of structural dynamic models.