2024 Labour Statistics & Analysis Academy

Strong statistical systems that collect, produce, and disseminate high quality labour market information remain critical for evidence-based policies that promote "full and productive employment and decent work for all" and the achievement of social justice. The demand for timely, reliable and relevant statistical data has been growing and gaining new relevance in a world defined by multitude of crises and threats on the one hand and the challenges and possibilities offered by global measurements, big data and artificial intelligence on the other. In 2023, the International Conference of Labour Statisticians (ICLS) held its centenary session addressing a number of crucial topics, including the measurement of informal economy and other key concepts such as care economy, earnings, classifications and labour migration. While progress in respect of the 2030 Agenda for Sustainable Development is being traced through the global indicator framework, now the ILO is also called on to measure progress towards the advancement of social justice. The innovative statistical standards set by the 19th, 20th and 21st ICLSs are crucial for the overarching goal of achieving social justice through decent work. Implementing these standards will also greatly contribute to monitoring progress towards the achievement of the SDGs. Following up on the successful 21st ICLS in 2023 that set an ambitious agenda for the statistical community, the ILO Department of Statistics and the International Training Centre of the ILO (ITCILO) are proud to offer the 2024 Labour Statistics Academy for data producers and users. The Academy offers a valuable opportunity to reflect on the ongoing challenges facing statistical systems and to learn about the latest developments in international statistical standards that are crucial for the achievement of social justice through decent work.

OBJECTIVES

• Highlight recent global statistical developments following up on the 21st ICLS;

• Foster better understanding and operationalization of key international statistical standards including the 20th ICLS resolution on statistics 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 indicators by demonstrating good practices in labour market information systems and SDG monitoring strategies;

• Review the main data production challenges and solutions identified in view of the multitude of crises and changes underway in the world;

• Explain the relevance of the ICLS standards to monitor social justice, including new topics of statistics on labour rights, care economy, labour migration and occupational safety and health;

• Highlight the importance of modernizing labour market data collection systems to make them more resilient

• Promote gender mainstreaming in the production and analysis of labour and work-related statistics.
  

CONTENT

• Introduction to Work Statistics (Sources & Statistical Systems)

• ILO Convention No. 160 on Labour Statistics

• Overview of ICLS process & family of Statistical Standards

• Statistics of Industrial Relations

• International Labour Migration Statistics

• Working With Labour Force Survey (LFS) Microdata & Weights and Deriving Main Labour Force Indicators

• Decent Work Indicators

• 19th ICLS & Measuring LFS Status (Employment, Unemployment, & Labour Underutilization)

• Child Labour Statistics

• Social Protection Statistics

• Analyzing the Labour Market Characteristics of International Migrants

• Deriving Main Labour Force Indicators

• SDG Indicators

• Data Production Guidance to Apply Latest Standards

• Forced Labour Statistics

• Measuring Employment in the Environmental Sector & Green Jobs

• Measuring Employment Characteristics of Persons with Disabilities

• Closing the Data Gap on Work Related Violence and Harassment

• Deriving Classifications

• Social Justice Indicators

• ILOSTAT Data Offerings

• Process to Implement LFS Changes Including Communication Challenges

• Measuring and Monitoring Occupational Safety & Health

• Measuring Qualifications & Skills Mismatches

• Overview of the 20th ICLS & Measuring ICSE-18

• Measuring Own Provision of Services (OPS) & Volunteer Work

• LFS Survey Planning & Sampling

• Deriving ICSE-18

• Administrative Records

• GSBPM

• Measuring Informality

• Earnings Statistics

• LFS Weighting & Treatment for Non- response

• Deriving Indicators on Informality

• Data Standards & Best Practices for Labour Statistics (LMIS, Data Harmonization & Integration)

• Emerging Topics in Labour Statistics

• Key Data Quality Considerations

• Deriving Indicators on Child Labour

• Data Standards & Best Practices for Labour Statistics (LMIS, Data Harmonization & Integration)

• International Standard Classification of Occupations (ISCO)

• AI & Machine Learning for Labour Statistics

NUMBER OF HOURS: 80