In this paper we extend the Bayesian Proxy VAR to incorporate time variation in the parameters. A Gibbs sampling algorithm is provided to approximate the posterior distributions of the model's parameters. Using the proposed algorithm, we estimate the time-varying e¤ects of taxation shocks in the US and show that there is limited evidence for a structural change in the tax multiplier.