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ACCURACY IN SIMULATIONS
DOI:10.2307/2297873.png)
Abstract
En 中文
Since the actual solution to intertemporal rational expectations models is usually not known, it is useful to have criteria for judging the accuracy of a given numerical solution. In this paper we propose a test for accuracy that is easy to implement and can be applied to a wide class of models without knowledge of the exact solution. We discuss the power of the test by simulating several models with the linear-quadratic approximation and with the method of parameterized expectations. We conclude that the test is powerful.
Keywords:
MODEL
EXPECTATIONS
UNCERTAINTY
GROWTH
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