FEDS Working Paper No. 842
13 Pages Posted: 2 Nov 2005
Date Written: October 2005
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: Technology shocks, hours worked, frequency domain, spectral density matrix
JEL Classification: E24, E32, O3
Suggested Citation: Suggested Citation
Christiano, Lawrence J. and Eichenbaum, Martin and Vigfusson, Robert, Alternative Procedures for Estimating Vector Autoregressions Identified with Long-Run Restrictions (October 2005). FEDS Working Paper No. 842. Available at SSRN: https://ssrn.com/abstract=833204 or http://dx.doi.org/10.2139/ssrn.833204