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We estimate a Bayesian structural vector autoregression that allows for time-varying parameters and stochastic volatility in the errors to account for the effects of various aggregate shocks on the real price of oil. We employ US quarterly data from 1948:Q1 to 2011:Q2. We find that aggregate...
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