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How Useful are DSGE Macroeconomic Models for Forecasting?

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  • Michael Wickens

Abstract

A review of the literature shows that forecasts from DSGE models are not more accurate than either times series models or official forecasts, but neither are they any worse. Further, all three types of forecast failed to predict the recession that started in 2007 and continued to forecast poorly even after the recession was known to have begun. The aim of this paper is to investigate why these results occur by examining the structure of the solution of DSGE models and compare this with pure time series models. The main factor seems to be the dynamic structure of DSGE models. Their backward-looking dynamics gives them a similar forecasting structure to time series models and their forward-looking dynamics, which consists of expected values of future exogenous variables, is difficult to forecast accurately. This suggests that DSGE models should not be tested through their forecasting ability. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Michael Wickens, 2014. "How Useful are DSGE Macroeconomic Models for Forecasting?," Open Economies Review, Springer, vol. 25(1), pages 171-193, February.
    • Handle: RePEc:kap:openec:v:25:y:2014:i:1:p:171-193
    DOI: 10.1007/s11079-013-9304-6
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    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • E1 - Macroeconomics and Monetary Economics - - General Aggregative Models

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