Assessing Structural VARs
In: NBER Macroeconomics Annual 2006, Volume 21
This paper analyzes the quality of VAR-based procedures for estimating the response of the economy to a shock. We focus on two key issues. First, do VAR-based confidence intervals accurately reflect the actual degree of sampling uncertainty associated with impulse response functions? Second, what is the size of bias relative to confidence intervals, and how do coverage rates of confidence intervals compare with their nominal size? We address these questions using data generated from a series of estimated dynamic, stochastic general equilibrium models. We organize most of our analysis around a particular question that has attracted a great deal of attention in the literature: How do hours worked respond to an identified shock? In all of our examples, as long as the variance in hours worked due to a given shock is above the remarkably low number of 1 percent, structural VARs perform well. This finding is true regardless of whether identification is based on short-run or long-run restrictions. Confidence intervals are wider in the case of long-run restrictions. Even so, long-run identified VARs can be useful for discriminating among competing economic models.
(This abstract was borrowed from another version of this item.)
|This chapter was published in: ||This item is provided by National Bureau of Economic Research, Inc in its series NBER Chapters with number
11177.||Handle:|| RePEc:nbr:nberch:11177||Contact details of provider:|| Postal: |
Web page: http://www.nber.org
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Christopher J. Erceg & Luca Guerrieri & Christopher Gust, 2005.
"Can Long-Run Restrictions Identify Technology Shocks?,"
Journal of the European Economic Association,
MIT Press, vol. 3(6), pages 1237-1278, December.
- Christopher J. Erceg & Luca Guerrieri, 2004. "Can Long-Run Restrictions Identify Technology Shocks?," Computing in Economics and Finance 2004 3, Society for Computational Economics.
- Christopher Erceg & Luca Guerrieri & Christopher Gust, 2004. "Can long-run restrictions identify technology shocks?," International Finance Discussion Papers 792, Board of Governors of the Federal Reserve System (U.S.).
- Pierre-Daniel G. Sarte, 1997. "On the identification of structural vector autoregressions," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 45-68.
- Frank Smets & Raf Wouters, 2002.
"An estimated dynamic stochastic general equilibrium model of the euro area,"
Working Paper Research
35, National Bank of Belgium.
- Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, 09.
When requesting a correction, please mention this item's handle: RePEc:nbr:nberch:11177. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()
If references are entirely missing, you can add them using this form.