Local Projections vs. VARs: Lessons From Thousands of DGPs
We conduct a simulation study of Local Projection (LP) and Vector Autoregression (VAR) estimators of structural impulse responses across thousands of data generating processes, designed to mimic the properties of the universe of U.S. macroeconomic data. Our analysis considers various identification schemes and several variants of LP and VAR estimators. A clear bias-variance trade-off emerges: LP estimators have lower bias than VAR estimators but substantially higher variance at intermediate and long horizons. Consequently, unless researchers are overwhelmingly concerned with bias, shrinkage via Bayesian VARs or penalized LPs is attractive.
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Copy CitationDake Li, Mikkel Plagborg-Møller, and Christian K. Wolf, "Local Projections vs. VARs: Lessons From Thousands of DGPs," NBER Working Paper 30207 (2022), https://doi.org/10.3386/w30207.Download Citation
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Published Versions
Dake Li & Mikkel Plagborg-Møller & Christian K. Wolf, 2024. "Local projections vs. VARs: Lessons from thousands of DGPs," Journal of Econometrics, .
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