Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/180577
Authors: 
Portugal, Pedro
Rua, António
Year of Publication: 
2018
Series/Report no.: 
IZA Discussion Papers 11559
Abstract: 
To better understand unemployment dynamics it is key to assess the role played by job creation and job destruction. Although the U.S. case has been studied extensively, the importance of job finding and employment exit rates to unemployment variability remains unsettled. The aim of this paper is to contribute to this debate by adopting a novel lens, wavelet analysis. We resort to wavelet analysis to unveil time- and frequency-varying features regarding the contribution of the job finding and job separation rates for the U.S. unemployment rate dynamics. Drawing on this approach, we are able to reconcile some apparently contradictory findings reported in previous literature. We find that the job finding rate is more influential for the overall unemployment behavior but the job separation rate also plays a critical role, especially during recessions.
Subjects: 
worker flows
job separation rate
job finding rate
wavelets
JEL: 
C10
E24
E32
Document Type: 
Working Paper
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