How the ins and outs shape differently the U.S. unemployment over time and across frequencies
Pedro Portugal and
European Economic Review, 2020, vol. 121, issue C
Although the U.S. case has been studied extensively, the importance of job finding and separation 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 behaviour but the job separation rate also plays a critical role, especially during recessions. In particular, the job separation rate accounts for, on average, 53 percent of the unemployment variability at short-run fluctuations during recessions, in sharp contrast with an overall contribution of 21 percent over time and across frequencies.
Keywords: Unemployment rate; Job separation; Job finding; Wavelets (search for similar items in EconPapers)
JEL-codes: C10 E24 E32 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:eecrev:v:121:y:2020:i:c:s0014292119302089
Access Statistics for this article
European Economic Review is currently edited by T.S. Eicher, A. Imrohoroglu, E. Leeper, J. Oechssler and M. Pesendorfer
More articles in European Economic Review from Elsevier
Bibliographic data for series maintained by Haili He ().