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Cogley and Sargent provide us with a very useful tool for empirical macroeconomics: a Gibbs sampler for the estimation of VARs with drifting coefficients and volatilities. The authors apply the tool to a VAR with three variables — inflation, unemployment, and the nominal interest rate — and...
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posteriors imply substantial variation of all of these objects for post WWII U.S. data. After adjusting for changes in volatility …
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Policy counterfactuals based on estimated structural VARs routinely suggest that bringing Alan Greenspan back in the 1970s' United States would not have prevented the Great Inflation. We show that a standard policy counterfactual suggests that the Bundesbank – which is near-universally...
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build a multivariate time series model with time-varying parameters and stochastic volatility that features measurement … impact of monetary policy shocks, but the majority of this variation is driven by changes in exogenous volatility. …
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than you think.", respectively. We use vector autoregression with time-varying parameters and stochastic volatility to …
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Cholesky-VAR impulse responses estimated with post-1984 U.S. data predict modest macroeconomic reactions to monetary policy shocks. We interpret this evidence by employing an estimated medium-scale DSGE model of the business cycle as a DataGenerating Process in a Monte Carlo exercise in which a...
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