Predictive Accuracy of Impulse Responses Estimated Using Local Projections and Vector Autoregressions

Zacharias Psaradakis (), Martin Sola, Nicola Spagnolo and Patricio Yunis ()

Department of Economics Working Papers from Universidad Torcuato Di Tella

Abstract: We examine the small-sample accuracy of impulse responses obtained using local projections (LP) and vector autoregressive (VAR) models. In view of the fact that impulse responses are differences between multistep predictors, we propose to assess the relative performance of impulse-response estimators using tests for equal predictive accuracy. In our Monte Carlo experiments, LP-based and VAR-based estimators are found to be equally accurate in large samples under a mean squared error risk function. VAR-based estimators tend to have an advantage over LP-based ones in small and moderately sized samples, particularly at long horizons.

Keywords: Local projections; Predictive accuracy; VAR models. (search for similar items in EconPapers)
JEL-codes: C32 C53 (search for similar items in EconPapers)
Pages: 11 pages
Date: 2024-05
New Economics Papers: this item is included in nep-ecm
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Persistent link: https://EconPapers.repec.org/RePEc:udt:wpecon:2024_02

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