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A critique of structural VARs using real business cycle theory Author info | Abstract | Publisher info | Download info | Related research | Statistics V. V. Chari
Patrick J. Kehoe
Ellen R. McGrattan
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The main substantive finding of the recent structural vector autoregression literature with a differenced specification of hours (DSVAR) is that technology shocks lead to a fall in hours. Researchers have used these results to argue that business cycle models in which technology shocks lead to a rise in hours should be discarded. We evaluate the DSVAR approach by asking, is the specification derived from this approach misspecified when the data are generated by the very model the literature is trying to discard? We find that it is misspecified. Moreover, this misspecification is so great that it leads to mistaken inferences that are quantitatively large. We show that the other popular specification that uses the level of hours (LSVAR) is also misspecified. We argue that alternative state space approaches, including the business cycle accounting approach, are more fruitful techniques for guiding the development of business cycle theory.> > Replaced by Staff Report No. 364
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Paper provided by Federal Reserve Bank of Minneapolis in its series Working Papers with number
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Date of creation: 2005Date of revision:
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Keywords: Vector autoregression Business cycles Other versions of this item:
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