Okun’s Law across time and frequencies
Manuel Martins () and
Maria Joana Soares
Journal of Economic Dynamics and Control, 2020, vol. 116, issue C
We present the first assessment of U.S. Okun’s Law across time and frequencies. We use a set of continuous wavelet tools that allows for estimating Okun’s coefficient and the lead/lag of output over unemployment at each moment and for each cyclical frequency. We find similar results for the gaps and the first differences specifications at business cycles frequencies, but not at lower frequencies. Okun’s coefficient has increased (in absolute value) since the mid-1960s, except in 1985–1995, and is not particularly sensitive to recessions. The lead of output varies considerably over time and also at different frequencies. We observe (especially with the gaps specification) that there are at least two cyclical processes relevant for the Okun’s relationship, one at the business cycle and another at lower frequencies. Methods that do not take this into account are bound to mix the information embedded in both cycles.
Keywords: Okun’s Law; Unemployment; Business cycles; Wavelet gain; Time-frequency estimation; Continuous wavelet transform (search for similar items in EconPapers)
JEL-codes: C49 E24 E32 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
Working Paper: Okun’s Law Across Time and Frequencies (2019)
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:dyncon:v:116:y:2020:i:c:s0165188920300658
Access Statistics for this article
Journal of Economic Dynamics and Control is currently edited by J. Bullard, C. Chiarella, H. Dawid, C. H. Hommes, P. Klein and C. Otrok
More articles in Journal of Economic Dynamics and Control from Elsevier
Bibliographic data for series maintained by Catherine Liu ().