© Andrzej Kocięcki, Michele Ca’ Zorzi, Michał Rubaszek. Article available under the CC BY-SA 4.0 licence
The paper provides a Bayesian methodological framework for the estimation of structural vector autoregression (SVAR) models with recursive identification schemes that allows for the inclusion of overidentifying restrictions. The proposed framework enables the researcher (i) to elicit the prior on non-zero contemporaneous relations between economic variables and (ii) to derive an analytical expression for the posterior distribution and marginal data density. We illustrate our methodological framework by estimating a New-Keynesian SVAR model for Poland.
structural VAR, Bayesian inference, overidentifying restrictions
C11; C32; E47
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