Revisions to BLS quarterly labor productivity estimates: How large are they?
BLS quarterly estimates of labor productivity, or output per hour worked, are revised as more data become available and seasonal factors are updated. BLS publishes three regularly scheduled estimates of labor productivity growth: the preliminary estimates, the first revised estimates, and the second...
| Published in: | Monthly Labor Review pp. 1 - 37 |
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| Main Authors: | , , , , |
| Format: | Article |
| Published: |
US Department of Labor
Mar2022
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=156146902&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 156146902 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00981818 MLR jtl: Monthly Labor Review issn: 00981818 maglogo: N pubinfo: dt: Mar2022 pid: 1929 pub: US Department of Labor artinfo: ui: 156146902 10.21916/mlr.2022.10 ppf: 1 ppct: 36 formats: fmt: @attributes: type: P size: 5.4MB tig: atl: Revisions to BLS quarterly labor productivity estimates: How large are they? aug: au: Asher, Kendra Glaser, John L. Meyer, Peter B. Stewart, Jay Varghese, Jerin affil: U.S. Bureau of Economic Analysis Supervisory economist in the Office of Productivity and Technology, U.S. Research economist in the Office of Productivity and Technology, U.S. Senior research economist in the Office of Productivity and Technology, U.S. Economist in the Office of Productivity and Technology, U.S. Bureau of Labor Statistics su: United States. Bureau of Labor Statistics Labor productivity Seasons sug: subj: Labor productivity United States. Bureau of Labor Statistics Administration of General Economic Programs Seasons ab: BLS quarterly estimates of labor productivity, or output per hour worked, are revised as more data become available and seasonal factors are updated. BLS publishes three regularly scheduled estimates of labor productivity growth: the preliminary estimates, the first revised estimates, and the second revised estimates. Most of the revisions result from updates to source data. This article analyzes revisions to the preliminary and first revised estimates relative to the second revised estimates and describes the new BLS methodology for constructing intervals that better informs data users about the likely size of future revisions. As part of our analysis, we identify the sources of revisions and determine whether systematic patterns exist that could be exploited to construct intervals. We find no evidence of such trends or systematic patterns. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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