This paper provides a general framework for the quantitative analysis of stochastic dynamic models. We review the convergence properties of some numerical algorithms and available methods to bound approximation errors. We then address the convergence and accuracy properties of the simulated...

This paper provides a general framework for the quantitative analysis of stochastic dynamic models. We review convergence properties of some numerical algorithms and available methods to bound approximation errors. We then address convergence and accuracy properties of the simulated moments. Our...

This article introduces a unified methodology for estimating and testing nonlinear econometric models defined by conditional moment restrictions. These models are very common in econometrics, such as nonlinear rational expectation models. The current approach for inference in these models is the...