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An Alternative Bootstrap for Proxy Vector Autoregressions

Referierte Aufsätze Web of Science

Martin Bruns, Helmut Lütkepohl

In: Computational Economics 62 (2023), S. 1857–1882


We propose a new bootstrap algorithm for inference for impulse responses in structural vector autoregressive models identified with an external proxy variable. Simulations show that the new bootstrap algorithm provides confidence intervals for impulse responses which often have more precise coverage than and similar length to the competing moving-block bootstrap intervals. An empirical example shows how the new bootstrap algorithm can be applied in the context of identifying monetary policy shocks.

JEL-Classification: C32
Keywords: Bootstrap inference, structural vector autoregression, impulse responses, instrumental variable