Alternative procedures for estimating vector autoregressions identified with long-run restrictions
Lawrence Christiano (),
Martin Eichenbaum () and
Robert Vigfusson ()
No 842, International Finance Discussion Papers from Board of Governors of the Federal Reserve System (U.S.)
We show that the standard procedure for estimating long-run identified vector autoregressions uses a particular estimator of the zero-frequency spectral density matrix of the data. We develop alternatives to the standard procedure and evaluate the properties of these alternative procedures using Monte Carlo experiments in which data are generated from estimated real business cycle models. We focus on the properties of estimated impulse response functions. In our examples, the alternative procedures have better small sample properties than the standard procedure, with smaller bias, smaller mean square error and better coverage rates for estimated confidence intervals.
Keywords: Vector analysis; Vector autoregression; Econometric models (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm, nep-ets and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed
Downloads: (external link)
Journal Article: Alternative Procedures for Estimating Vector Autoregressions Identified with Long-Run Restrictions (2006)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:fip:fedgif:842
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in International Finance Discussion Papers from Board of Governors of the Federal Reserve System (U.S.) Contact information at EDIRC.
Bibliographic data for series maintained by Ryan Wolfslayer ().