Best Practices in Labour Market Information: Recommendations for Canada's LMI System
Andrew Sharpe
No 2009-05, CSLS Research Reports from Centre for the Study of Living Standards
Abstract:
The objective of this report for the LMI High-Level Advisory Panel is to provide advice on best practices in LMI and policy suggestions to improve the Canadian LMI system. Based on a thorough analysis, it presents 20 recommendations to improve the operation of LMI in Canada in the areas of LMI data, LMI analysis and forecasting, and LMI dissemination. For these recommendations to have traction, two conditions are needed. First, it is crucial that senior policy makers, that is those at the Deputy Minister and Ministerial level, recognize the important on an effective LMI system for a highperformance economy. Second, it is extremely important that jurisdictional issues do not become a barrier to the provision of high-quality LMI to the public.
Keywords: labour market information; LMI; best practices; recommendations; data gaps; forecasting; dissemination; Canada (search for similar items in EconPapers)
Date: 2009-07
New Economics Papers: this item is included in nep-lab
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://csls.ca/research/best-practices-in-labour- ... -canadas-lmi-system/ (text/html)
https://csls.ca/wp-content/uploads/2026/07/csls2009-05.pdf (application/pdf)
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:sls:resrep:0905
Ordering information: This working paper can be ordered from
http://www.csls.ca
Access Statistics for this paper
More papers in CSLS Research Reports from Centre for the Study of Living Standards 170 Laurier Ave. W, Suite 604, Ottawa, ON K1P 5V5. Contact information at EDIRC.
Bibliographic data for series maintained by CSLS ().