International Classification of Activities for Time Use Statistics 2016 (ICATUS 2016)
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Forms of work
Statistical Methodology Series 10 – Identification of ICSE-18 through labour force surveys
This report illustrates Key findings and implications for questionnaire design obtained from the pilot studies carried out by the ILO in Uganda and Peru in relation to the identification of status in employment based on the International Classification of Status in Employment (ICSE-18). Working relationships are inextricably linked to – and have direct implications for – the identification and measurement of informality. Thus, ensuring both are measured well is key to improving our understanding of informality.
Own-use provision of services: Measurement guide
This guide provides guidance on implementing the ILO add-on module for own-use provision of services (OPS) in national labour force surveys. It is aimed at low- and middle-income countries and is designed to support NSOs to produce statistics on OPS when resource constraints or other considerations impede an independent time-use survey.
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International Classification of Status in Employment (ICSE-18) manual
A resolution adopted at the 20th ICLS includes a new international classification of status in employment (ICSE-18). This manual describes the revised classification, how it differs from the previous version, and how to implement it in a household survey.
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New ILO database updates work-related indicators to meet latest standards
The framework on work statistics has been widely publicized over the years, particularly to data producers and policymakers, as it was designed to improve labour market and gender analysis. But little has been said to data users interested in international comparisons. Until now. Here is the ILOSTAT solution to handling the impacts of revised definitions occurring on different schedules across the globe.
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Breaking the bias for better gender data
Generating high quality statistics relies on eliminating gender bias at all stages of the production process. This blog looks at how gender bias occurs in statistics and what the ILO is doing to support efforts to minimize it.
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Work Statistics – 19th ICLS (WORK database)
Concise description of concepts and definitions, uses, sources and limitations for (paid and unpaid) work statistics based on the 19th ICLS standards.
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Labour statistics: From standards to data
This free masterclass is available on eCampus, ITCILO’s online learning platform.
Watch the 9 video lessons to hear directly from Senior Experts in the ILO Department of Statistics about the challenges and developments countries are facing nowadays in what concerns labour statistics, and how International Statistical Standards are instrumental in developing statistical systems global in order to pave the way for a better future that promotes social justice through decent work.
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What to know when comparing data on women and men’s work
How many men and women were employed last week? How many hours did they work in their main jobs? And how many hours did they work in unpaid activities such as caring for children? These are seemingly straightforward questions but measuring paid and unpaid work through household surveys is anything but straightforward. This holds true especially for women in developing countries, who are more often engaged in informal activities such as microenterprises or small-scale farming — activities that can fall through the cracks of traditional surveys.
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Measuring volunteer work self-learning course
In this self-paced course, also available in French, Spanish, Arabic and Russian, you will learn about the latest international standards on the statistical measurement of volunteer work; and how to apply the ILO survey tools to generate headline indicators on volunteer work. If it is the first time you access the ITC eCampus platform, click on CREATE NEW ACCOUNT and follow the instructions.
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