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-trivial moving average component of the equilibrium representation, making finite order VARs a poor approximation of true adjustment …-based nonfundamentalness, thereby hampering shock identification via VAR methods. This notwithstanding, restricted DNK models are shown to … empirically tenable parameterizations. This alleviates concerns about identification and lag truncation bias: low-order Cholesky-VARs …
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Great Recession. In ation, in contrast, has gone quiescent. This paper studies the sources of this disconnect using VARs and …
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milder macroeconomic responses to a monetary policy shock estimated with our VAR in presence of high uncertainty. A version …
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Following Giraitis, Kapetanios, and Yates (2014b), this paper uses kernel methods to estimate a seven variable time-varying (TV) vector autoregressive (VAR) model on the data set constructed by Smets and Wouters (2007). We apply an indirect inference method to map from this TV VAR to time...
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