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Spectral Analysis and Distributed Lags in Geographical Studies of Local Unemployment: 2. Distributed Lags

Authors: R Dunn;

Spectral Analysis and Distributed Lags in Geographical Studies of Local Unemployment: 2. Distributed Lags

Abstract

This is the second part of a two-part paper in which the related topics of spectral analysis and the identification and estimation of distributed-lag models between time series are discussed. This paper is mainly concerned with distributed-lag models, in particular the use of spectral estimators developed by Hannan. A number of previous studies have used the phase statistics from the cross-spectrum as an indication of lead/lag relations between unemployment series, but it is shown here that this is likely to lead to incorrect conclusions. As an empirical example, lead/lag relations between local unemployment in Severnside and the national series are investigated. The correspondence between time-domain (regression) and frequency-domain (spectral) methods of estimating relations between time series is also discussed, using empirical material from both parts of the paper.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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