Measures of Fit for Calibrated Models

45 Pages Posted: 27 Jun 2007 Last revised: 13 Oct 2024

See all articles by Mark W. Watson

Mark W. Watson

Princeton University - Princeton School of Public and International Affairs; National Bureau of Economic Research (NBER)

Date Written: May 1991

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.

Suggested Citation

Watson, Mark W., Measures of Fit for Calibrated Models (May 1991). NBER Working Paper No. t0102, Available at SSRN: https://ssrn.com/abstract=995149

Mark W. Watson (Contact Author)

Princeton University - Princeton School of Public and International Affairs ( email )

Princeton University
Princeton, NJ 08544-1021
United States

National Bureau of Economic Research (NBER)

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