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In this paper we analyze the propagation of shocks originating in sectors that are not present in a baseline dynamic stochastic general equilibrium (DSGE) model. Specifically, we proxy the missing sector through a small set of factors, that feed into the structural shocks of the DSGE model to create correlated disturbances. We estimate the factor structure by matching impulse responses of the augmented DSGE model to those generated by an auxiliary model. We apply this methodology to track the effects of oil shocks and housing demand shocks in models without energy and housing sectors.
Does fiscal policy stimulate output? SVARs have been used to address this question but no stylized facts have emerged. We derive analytical relationships between the output elasticities of fiscal variables and fiscal multipliers. We show that standard identification schemes imply different priors on elasticities, generating a large dispersion in multiplier estimates. We then use extra-model information to narrow the set of empirically plausible elasticities, allowing for sharper inference on multipliers. Our results for the U.S. for the period 1947-2006 suggest that the probability of the tax multiplier being larger than the spending multiplier is below 0.5 at all horizons.
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