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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.)

Abstract: 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
Date: 2005
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Journal Article: Alternative Procedures for Estimating Vector Autoregressions Identified with Long-Run Restrictions (2006) Downloads
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