The main objective of the course is to enhance the understanding and capacities of ILO constituents and social partners in designing and implementing household surveys and in processing sample data in line with best methodological practices. The course will enhance participant's' knowledge of the different sampling and weighting techniques, highlighting their pros and cons. In addition, it will highlight the link between sampling techniques and survey design, with a particular focus on labour force surveys (LFS), the most common source of official labour statistics across the globe. More specifically, the aims of the course are to: - Enhance understanding on sample surveys and survey designs; - Provide insights into the principles and practices of sampling; - Enrich understanding of estimation theory, methods for probability sampling, and sampling frames; - Improve understanding of different weighting strategies and treatment of unit non-response; - Increase understanding of quality dimensions and calculation of sample size for complex multi-stage designs; - Provide practical case studies on the treatment of total non-response and on weighting, making use of different sets of benchmarks available for different population sub-groups and/or for different geographical domains.
Important note: This course requires a basic knowledge of statistics and probability. The target audience includes: - Statisticians and practitioners from national statistical offices who have a role in designing household surveys samples and weighting survey data; - Other Statisticians from national statistical offices; Ministries of labour and other institutions involved in the production of work, social and gender-related statistics; - Employment and development policy analysts from national statistical offices, research and academic institutions, international organizations and donor organizations.