Market sector GVA productivity measures

Catherine Marks
Additional contact information
Catherine Marks: Office for National statistics

Economic & Labour Market Review, 2007, vol. 1_, issue 3, 47-53

Abstract: Introduces two new series measuring the market sector productivity, both utilising the experimentalmarket sector GVA series and employment data.Measurement of the market sector is becoming increasingly important to policymakers. In response to userdemand, this article introduces two new experimental series measuring the productivity of the market sector. Bothseries utilise the experimental market sector gross value added (GVA) series and employment data. Analysis of the marketsector per worker series suggests that, while the series follows the same trends as the whole economy GVA per workermeasure, it generally records higher rates of growth especially during periods of high economic growth. The market sectorGVA per hour series currently has a short time series, so only limited conclusions can be drawn. However, it does closelyfollow the whole economy measure of productivity per hour. Economic & Labour Market Review (2007) 1, 47–53; doi:10.1057/palgrave.elmr.1410044

Date: 2007
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.palgrave-journals.com/elmr/journal/v1/n3/pdf/1410044a.pdf Link to full text PDF (application/pdf)
http://www.palgrave-journals.com/elmr/journal/v1/n3/full/1410044a.html Link to full text HTML (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:ecolmr:v:1:y:2007:i:3:p:47-53

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/41318

Access Statistics for this article

More articles in Economic & Labour Market Review from Palgrave Macmillan, Office for National Statistics
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().