Are spectral estimators useful for long-run restrictions in SVARs?

Elmar Mertens

Journal of Economic Dynamics and Control, 2012, vol. 36, issue 12, 1831-1844

Abstract: No, not really. In response to concerns about the reliability of SVARs, one proposal has been to combine OLS estimates of a VAR with non-parametric estimates of the spectral density. But as shown here, spectral estimators are no panacea for implementing long-run restrictions. They can suffer from small sample and misspecification biases just as VARs do. As a novelty, this paper uses a spectral factorization to ensure a correct representation of the data's variance. But this cannot overcome the basic small sample issues, which arise when trying to estimate long-run properties from relatively short samples of time-series data.

Keywords: Structural VAR; Long-run identification; Non-parametric estimation; Spectral factorization (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:dyncon:v:36:y:2012:i:12:p:1831-1844

DOI: 10.1016/j.jedc.2012.06.007

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