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- W4387387478 abstract "The DSGE-VAR model consists of two models of vector autoregressions: the first one approximates linearised solution of the dynamic stochastic general equilibrium model and is used as a tool for construction of a prior distribution for the second one, estimated with the observed data. Combined inference is possible on the basis on probability distributions with the Bayesian techniques. The key role in the hybrid model is played by the weighting parameter that defines the relative proportions of the structural and autoregressive models. It has crucial impact for the marginal data density that allows to compare the power of different models. The main purpose of the paper is to present in details model assumptions and estimation." @default.
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- W4387387478 date "2013-09-30" @default.
- W4387387478 modified "2023-10-16" @default.
- W4387387478 title "Estymowane modele równowagi ogólnej i autoregresja wektorowa. Aspekty teoretyczne" @default.
- W4387387478 doi "https://doi.org/10.59139/ps.2013.03.5" @default.
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