Econometrica: Mar 2008, Volume 76, Issue 2

Computing the Distributions of Economic Models via Simulation
p. 443-450

John Stachurski, Vance Martin

We study a Monte Carlo algorithm for computing marginal and stationary densities of stochastic models with the Markov property, establishing global asymptotic normality and () convergence. Asymptotic normality is used to derive error bounds in terms of the distribution of the norm deviation.

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