Introduction of automatic occupation coding in ASHE
James Scruton
Additional contact information
James Scruton: Office for National Statistics
Economic & Labour Market Review, 2007, vol. 1, issue 7, 29-32
Abstract:
Describes the adoption of automatic coding by text recognition into ASHE and the significant benefits that will ensue.The automatic coding tool, automatic coding by text recognition (ACTR), is being introduced for the Annual Survey of Hours and Earnings (ASHE). ACTR has been shown to improve the quality of occupation coding. However, it also brings a moderate discontinuity in the ASHE results. The improvement in the quality of the coding, and the savings obtained from using ACTR, mean that the benefits of its adoption are significant. For continuity, a revised 2006 data set will also be created on an ACTR-coded basis. Economic & Labour Market Review (2007) [1], 29–32; doi:10.1057/palgrave.elmr.1410122
Date: 2007
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.palgrave-journals.com/elmr/journal/v1/n8/pdf/1410122a.pdf Link to full text PDF (application/pdf)
http://www.palgrave-journals.com/elmr/journal/v1/n8/full/1410122a.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:8:p:29-32
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 ().