BVAR models in the context of cointegration: a Monte Carlo experiment

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Summary

A Monte Carlo experiment is conducted to assess the small sample performance of two classical and two Bayesian estimation methods commonly applied to VAR models and shows that the Minnesota-type prior with hyperparameter search performs well, suggesting that the prevalent suspicion about the inability of this prior to capture longrun patterns is not well-grounded.

Type
article
Published
1994-01-01
Cited by
10
References
68

Keywords

Monte Carlo method, Bayesian probability, Bivariate analysis, Bayesian vector autoregression, Context (archaeology)

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