The original algorithm contained a mistake that meant the conditional distributions used for the VAR's coefficients were missing a piece of information. We propose a new algorithm that uses the same factorization but includes the missing term. The new, correct algorithm has the same computational complexity as the old, incorrect one (i.e., O(N-4)), and therefore it still allows the estimation of large VARs. (C) 2021 Published by Elsevier B.V.
Carriero, A., Chan, J., Clark, T.E., Marcellino, M. (2022). Corrigendum to “Large Bayesian vector autoregressions with stochastic volatility and non-conjugate priors” [J. Econometrics 212 (1) (2019) 137–154]. JOURNAL OF ECONOMETRICS, 227(2), 506-512 [10.1016/j.jeconom.2021.11.010].
Corrigendum to “Large Bayesian vector autoregressions with stochastic volatility and non-conjugate priors” [J. Econometrics 212 (1) (2019) 137–154]
Carriero, A;
2022
Abstract
The original algorithm contained a mistake that meant the conditional distributions used for the VAR's coefficients were missing a piece of information. We propose a new algorithm that uses the same factorization but includes the missing term. The new, correct algorithm has the same computational complexity as the old, incorrect one (i.e., O(N-4)), and therefore it still allows the estimation of large VARs. (C) 2021 Published by Elsevier B.V.| File | Dimensione | Formato | |
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Corrigendumfinal_ourposting.pdf
Open Access dal 19/12/2023
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