Alternative procedures for estimating vector autoregressions identified with long-run restrictions
成果类型：
Article; Proceedings Paper
署名作者：
Christiano, Lawrence J.; Eichenbaum, Martin; Vigfusson, Robert
署名单位：
Northwestern University
刊物名称：
JOURNAL OF THE EUROPEAN ECONOMIC ASSOCIATION
ISSN/ISSBN：
1542-4766
DOI：
10.1162/jeea.2006.4.2-3.475
发表日期：
2006
页码：
475-483
关键词：
摘要：
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.
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