Measures of Fit for Calibrated Models

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Abstract
This paper develops a new procedure for assessing how well a given dynamic economic model describes a set of economic time series. To answer the question, the variables in the model are augmented with just enough error so that the model can exactly mimic the second moment properties of the actual data. The properties of this error provide a useful diagnostic for the economic model, since they show the dimensions in which model fits the data relatively well and the dimensions in which it fits the data relatively poorly.

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