Endogenous time variation in vector autoregressions
Danilo Leiva-Leon () and
Luis Uzeda ()
No 2108, Working Papers from Banco de España
We introduce a new class of time-varying parameter vector autoregressions (TVP-VARs) where the identified structural innovations are allowed to influence the dynamics of the coefficients in these models. An estimation algorithm and a parametrization conducive to model comparison are also provided. We apply our framework to the US economy. Scenario analysis suggests that, once accounting for the influence of structural shocks on the autoregressive coefficients, the effects of monetary policy on economic activity are larger and more persistent than in an otherwise standard TVP-VAR. Our results also indicate that cost-push shocks play a prominent role in understanding historical changes in inflation-gap persistence.
Keywords: TVP-VAR; state-space; endogeneity; bayesian; monetary policy (search for similar items in EconPapers)
JEL-codes: C11 C32 E31 E52 (search for similar items in EconPapers)
Pages: 82 pages
New Economics Papers: this item is included in nep-mac
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Journal Article: Endogenous Time Variation in Vector Autoregressions (2023)
Working Paper: Endogenous Time Variation in Vector Autoregressions (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:bde:wpaper:2108
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