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Unemployment dynamics: An unobserved components approach

Authors: Ruenstler, Gerhard;

Unemployment dynamics: An unobserved components approach

Abstract

The study uses a bivariate unobserved components model for output and the unemployment rate in order to examine stylised facts of the cyclical behaviour of unemployment and to estimate the size of persistence. The model is applied to the U.S., Canada, and major European economies. Estimates of cyclically adjusted unemployment rates are obtained that account for persistence effects and are subject to considerably smaller confidence bounds compared to approaches based on wage and price setting equations.

Keywords

trend-and-cycle decomposition, multivariate, ddc:330, persistence, stochastic cycles, Trend-and-Cycle Decomposition, Persistence, Multivariate, Stochastic Cycles, E30, C22, jel: jel:E30, jel: jel:C22

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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!
0
Average
Average
Average
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