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MEASURING DECENT WORK USING STATISTICAL INDICATORS

OUTLINE SLIDE. Background on Advisory Group on Statistics (AGS)Why statistical indicators to measure decent workWhat is decent work and possible organising frameworks for decent work statistical indicatorsSpecific indicators of decent work: Some possibilitiesSome technical issues needing discus

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MEASURING DECENT WORK USING STATISTICAL INDICATORS

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    1. MEASURING DECENT WORK USING STATISTICAL INDICATORS Richard Anker ILO Senior Advisor Strategy on Labour Statistics

    2. OUTLINE SLIDE Background on Advisory Group on Statistics (AGS) Why statistical indicators to measure decent work What is decent work and possible organising frameworks for decent work statistical indicators Specific indicators of decent work: Some possibilities Some technical issues needing discussion and thought for identifying decent work indicators Integrating Office work on measuring decent work: How to go about it

    3. BACKGROUND ON ADVISORY GROUP ON STATISTICS (AGS) AGS report: Office-wide strategy and recommendations on statistics (available for dissemination) Publication: ILO multi-country databases (available for dissemination) Follow up Need for integration across Office and Office working together (HQ & Field; STAT and Sectors) Need for further development of statistics in Office (quality, coverage, dissemination, usability etc.) Some specific newer needs (e.g. acceptable world estimates; comparable data series; state-of-world reports; improved data collection; measuring decent work)

    4. WHY STATISTICAL INDICATORS TO MEASURE DECENT WORK To measure decent work objectively To monitor and evaluate situation progress on decent work To communicate with constituents and public To provide framework for organising and focussing ILO work To provide framework for technical advice

    5. NEED FOR STATISTICAL INDICATORS OF DECENT WORK “ One important area in which we clearly need to invest is our information systems. In order to effectively promote the goal of decent work for all, the Office must be able to measure and monitor progress and deficits, and to respond to the demands of constituents and the general public for information about these issues. We have to have up-to-date and readily usable information on all aspects of decent work which can support diagnosis, evaluation and policy design.   We need to make a major investment in the design and implementation of our data and statistical base. We have defined our four strategic objectives and we now need to measure our progress. “ (Director General, ILC, 2001)

    6. WHAT IS DECENT WORK AND POSSIBLE ORGANISING FRAMEWORKS FOR DECENT WORK STATISTICAL INDICATORS Many possible frameworks and examples Four ILO pillars are best for ILO AGS list Other ILO lists (e.g. AGS; DW/PP; KILM; SES/IFP; LABORSTA; Multi-country databases) Other non-ILO lists (e.g. EU) Considerable further work and thought required to establish Decent Work indicator lists NOTE: SERIES OF LISTS ARE INCLUDED AT THE END OF THESE NOTES

    7. “There are four main dimensions [of decent work]: (i) work and employment itself; (ii) rights at work; (iii) security; and (v) representation and dialogue. There are questions of both quanitity and quality [for employment]. It is not enough to have work; we also have to take into account the content of this work… The employment goal is best expressed as adequate opportunities for productive and meaningful work in decent conditions…. Basic rights at work have been expressed in the ILO’s core labour standards… Security is a powerful need. Work [can be insecure] because it is irregular or temporary, or income varies, or it is physically risky… Representation and dialogue is the way in which people’s voices can be heard [at work]. It is through social dialogue that widespread support fro the other three dimensions of decent work may be built” (Gerry Rodgers, 2001)

    8. SOME TECHNICAL ISSUES NEEDING DISCUSSION AND THOUGHT FOR IDENTIFYING DECENT WORK INDICATORS Discussion less necessary (more like statements) Need for international comparable data series (at present, much more data available for Employment issues among four Sectors) Need for restricted core list of DW indicators for international comparability Need for longer lists of DW indicators for national exercises Data availability vs. desirability/relevance (different choices for internationally comparable data series and national excercises) Need for absolute measures and relative measures (e.g. “low “ pay; “poverty “; working poor)

    9. Discussion important Need for qualitative indicators (e.g. rights; perceptions; laws) and quantitative indicators for labour market outcomes (e.g. employment; wages) Need to measure at macro (international/national/regional), meso (enterprise), and micro (individual/household) levels Conceptual relevance differences by level Limitations and advantages of data sources from each aggregation level Possibility of collecting new data vs. only using available data

    10. Some examples of national level and individual level indicators for similar phenomenon

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