Indeterminate forecast accuracy under indeterminacy

Luca Fanelli () and Marco Sorge

Journal of Macroeconomics, 2017, vol. 53, issue C, 57-70

Abstract: This paper studies whether the observed time variation in the forecast accuracy of macro-econometric models can be reconciled with the monetary policy stance that induces (in)determinacy in stylized DSGE models. Using a small-scale New Keynesian monetary framework as laboratory and structural parameters calibrated to the estimates obtained on U.S. data from different macroeconomics regimes, we exploit reduced-form econometric models – such as Vector Autoregressions – to assess their regime-specific forecastability. We show that conducting (pseudo) out-of-sample forecast comparisons in the presence of indeterminacy is a non-trivial exercise, even when sunspot shocks play no role in generating the data. Overall, our simulation experiment suggests that equilibrium indeterminacy need not lead to superior (absolute or relative) forecast accuracy. This finding challenges the view that the deteriorating performance of forecast models over the Great Moderation relative to the Great Inflation was entirely due to changes in the U.S. monetary policy.

Keywords: DSGE; Forecasting; Indeterminacy; VAR system (search for similar items in EconPapers)
JEL-codes: C53 C62 E17 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jmacro:v:53:y:2017:i:c:p:57-70

DOI: 10.1016/j.jmacro.2017.05.007

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