Labour Market Statistics & Analysis Academy for the Pacific Island Countries

Developing strong statistical systems for producing, collecting and disseminating reliable, comprehensive and timely labour market information remains critical for evidence-based policy making which promotes “full and productive employment and decent work for all”. The demand for quality statistical data is particularly urgent in countries where existing systems do not allow for regular production of timely, reliable and relevant work and labour market statistics. Moreover, rapid changes in the world of work, accelerated by the Covid-19 pandemic, have added pressure on existing statistical systems to innovate and produce new and better indicators to measure emerging labour market realities. The innovative statistical standards set by the 19th and 20th ICLSs on work statistics and statistics on work relationships are crucial for the overarching goal of achieving decent work for all. Their relevance for the efficient monitoring of labour markets during normal times and crises has been proven in many countries across the world already. Knowledge and experience accumulated since the beginning of the COVID-19 pandemic has been particularly useful in this regard. The resolutions and guidelines adopted by the 20th ICLS on topics such as labour migration, the measurement of compliance with labour rights, the measurement of the existence of an employment strategy for youth and forced labour statistics will greatly contribute to monitoring progress towards the achievement of the SDG, as they are closely related to several SDG indicators. With these recent developments in mind, the ILO Department of Statistics and the International Training Centre of the ILO (ITCILO), in collaboration with the ILO Regional Office for Asia & the Pacific and the ILO Country Office in Suva are proud to organize the 2023 Labour Market Statistics & Analysis Academy for the Pacific island countries, targeting data producers and labour market data analysts from the Pacific islands member States. The Academy offers a great opportunity to reflect on the ongoing challenges facing statistical systems globally and to learn about the latest most up-to-date international statistical standards that are crucial for decent work promotion, post-pandemic recovery and pro-employment macro-economic growth. OBJECTIVES The main objective of the Academy is to increase the capacity of stakeholders from the Pacific statistical community, in the production and analysis of labour market statistics using latest international standards; with a focus on the indicators from the SDG statistical monitoring system particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all. The Academy is designed to enhance institutional capacities to identify, collect, analyze and disseminate labour market information and other indicators related to decent work. More specifically, the course aims to: • Foster better understanding and operationalization of key international statistical standards including the 20th ICLS resolution on work relationships and the 19th ICLS resolution on work statistics; • Expand knowledge on the measurement of decent work in the SDG Global Indicator Framework; • Promote sound statistical data processing and analysis of labour market indicators; • Highlight the importance of modernizing labour market data collection systems as to make them more resilient; • Promote gender mainstreaming in the production of labour statistics and in the definition of the relevant SDG in dicators. CONTENT • Introduction to labour Statistics / International Statistical Standards / Labour Statistics Conventions • National Indicators to Policy Priorities • Measuring decent work in the SDGs • How to use STATA for Labour Market Analysis • Work, employment and labour underutilization (19th ICLS) • Measuring Employment and labour underutilization in LFSs -Measurement of unpaid work in LFSs • Working with LFS microdata & weights • Sampling, weighting, and non- response -Data quality • Producing sampling errors for core LF statistics • International labour migration statistics • Child Labour Statistics • Measuring Informal employment • Questionnaire design for measuring informality • Microdata: Deriving main labour force indicators • Deriving indicators on informality • Work relationships (20th ICLS) • Deriving indicators on work relationships • Deriving indicators on unpaid work • Regional Overview of labour statistics/Data availability & future programme NUMBER OF HOURS: 30