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• W2940379618 abstract "Abstract In this paper, we extend the Bayesian Proxy vector autoregression (VAR) model to incorporate time variation in the parameters. A novel Metropolis‐within‐Gibbs sampling algorithm is provided to approximate the posterior distributions of the model's parameters. Using the proposed algorithm, we estimate the time‐varying effects of taxation shocks in the United States and the United Kingdom and find evidence for a decline in the impact of these shocks on output growth." @default.
• W2940379618 created "2019-04-25" @default.
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• W2940379618 date "2022-06-14" @default.
• W2940379618 modified "2023-09-25" @default.
• W2940379618 title "Changing Impact of Shocks: A Time‐Varying Proxy SVAR Approach" @default.
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• W2940379618 doi "https://doi.org/10.1111/jmcb.12946" @default.
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