Description: The adoption of the 2030 Agenda for Sustainable Development requires governments and stakeholders to monitor progress towards the defined goals and targets relating to decent work and economic growth. The 19th, 20th, and 21st ICLS Resolutions on work statistics are crucial for the analysis of decent-work-related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. A strong statistical system for producing, collecting and disseminating reliable, comprehensive and timely labour-market information is critical for evidence-based policy-making which promotes "full and productive employment and decent work for all". The ILO Department of Statistics, in close collaboration with the International Training Centre of the ILO, is proud to be organizing the 2024 Labour Market Statistics and Analysis Academy, with a particular focus on the outcomes of the 20th and 21st ICLS recommendations concerning emerging trends in the world of work and the SDG monitoring framework for measuring decent work and supporting evidence-based policy-making. The main objective of the Academy is to better equip and situate national and international stakeholders in the new SDG statistical monitoring system in the context of the main outcomes of the 20th and 21st ICLS recommendations. The Academy is designed to enhance institutional capacity for identifying, collecting, analysing and disseminating labour-market information and other indicators related to decent work. Moreover, the Academy emphasizes the 20th ICLS and 21st ICLS resolutions on the statistics of work relationships and measuring informality as important pillars for measuring progress towards the 2030 agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.
Target Audience: Officials from National Statistical Offices (NSOs); Ministries of labour and related Institutions (such as labour observatories); Governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO Social Partners (employers' and workers' organizations); Research and academic institutions; International organizations; Development agencies; Non-governmental organizations, etc.
Description: This course, offered by the ILO, gives economists and analysts a solid foundation for assessing the state and trends of labour markets based on robust analysis of labour statistics. It examines empirical questions regarding the labour market leveraging cross-sectional, time series, and panel data models, as well as quantitative economic models. Several sessions are devoted to how to interpret findings and draft powerful data stories to identify critical decent work and social justice gaps and potential policies to address them. The course also discusses the limitations of the tools used and introduces causal inference models, which can overcome some of them. Participants will attend interactive lectures and applied workshops, where they use Stata for hands-on exercises and work with real world datasets to craft analysis.
Target Audience: Economists & Analysts From Ministries Of Labour, National Statistical Offices, Ministries Of Finance, Central Banks, Research And Academic Institutions, International Organizations, Development Agencies And Non-Government Organizations.
Description: Unpaid care work refers to work - performed without expectation of pay or profit - that is oriented to meeting people's physical, psychological, cognitive, and emotional needs. It sustains individual health and wellbeing and is essential to the functioning of societies everywhere . Most unpaid care work occurs as own use provision of services (also termed unpaid domestic and care work). It is intra-household and/or intra-familial, undertaken by and for members of the same household or by and for relatives living elsewhere. Not all unpaid care work takes place within household or kin networks. It is also routinely provided within wider communities or networks, via direct- or organisation-based volunteering. In recent years, the measurement of unpaid care work has been accorded new priority in official statistics . This has occurred as part of a wider revitalisation of interest in the topic in national and international policy circles. There is growing acknowledgement of the economic contribution of unpaid care work, which, based on conservative estimates, would amount to nine per cent of global GDP were it accorded monetary value . Similarly, there is growing recognition of the untenability of a status quo whereby, globally, women and girls contribute over three quarters (76.2 per cent) of the total hours spent daily on unpaid care work, to the detriment of labour force participation, access to formal employment and decent work, and involvement in the wider public sphere. Since 2015, the Sustainable Development Goals (SDGs) have mandated countries to produce statistics on the "proportion of time spent on unpaid domestic and care work, by sex, age and location" (SDG indicator 5.4.1), while also recognising a central role for volunteer work in the realisation of the wider 2030 Sustainable Development Agenda . Nationally, data on unpaid care work has relevance for a wide range of public policy areas, especially when collected alongside data on labour force participation and employment. Such data provide for a much fuller treatment of gender-based differences and inequities. They permit a fuller analysis of the contribution of unpaid work to national economies, alongside improved monitoring of transitions in the social organization of care work, from unpaid- to market-based provision (or vice versa). Current international standards for labour statistics provide a strong conceptual framework for the measurement of unpaid care work, and volunteer work more broadly , in labour force surveys. This course will explain and operationalise the current guidelines for the measurement of unpaid care work and volunteer work, and will demonstrate available methods, tools, and practical resources. The ILO Department of Statistics, in collaboration with the ITCILO, is proud to offer the first edition of the online course "Measuring Unpaid Care Work & Volunteering in Labour Force Surveys".
Target Audience: Statisticians from national statistical offices; Ministries of labour and other institutions involved in production of work, social, and gender statistics; - Governmental agencies responsible for developing and implementing policies addressing unpaid care work/volunteer work, labour-market data analysis and national SDG reporting; ILO Social Partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations. - Employment and development policy analysts from National Statistical Offices, Research and Academic institutions, International organizations and Donor organizations.
Description: The demand for analyzing labour market data has risen, in line with the prioritization of countries to better understand the functioning of the labour market and the impact of policies and programmes on outcomes, including unemployment and employment. The adoption of the 2030 Agenda for Sustainable Development requires governments and other stakeholders to monitor progress towards the defined goals and targets, including SDG 8 on Decent Work and Economic Growth. At the same time, new measures of the labour market are evolving through the adoption of statistical standards by the International Conference of Labour Statisticians (ICLS). The 19th and 20th ICLS resolutions on work statistics are crucial for decent work related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. The analysis of labour market data relies on the availability of data, which has expanded in recent years, and the use of appropriate methodologies to identify key factors and trends relevant to evidence-based policymaking. In this regard, analysts and statisticians depend on statistical software that provides a user-friendly approach to data management, description, graphics and analysis. STATA is such a tool, which is powerful but easy-to-use, and is utilized across the world for analysing labour market data. Building on its long experience in delivering training on labour market statistics, the International Training Centre of the ILO in full collaboration with the ILO Department of Statistics is proud to offer the training Advanced STATA for labour market analysis. Harnessing the latest ground-breaking learning technologies, the ITCILO is proudly offering this face to face training in full collaboration with the ILO Department of Statistics. - This course qualifies for the Labour Market Statistics & Analysis Diploma.
Target Audience: The course targets: - Labour Statisticians from national statistical offices; Ministries of labour and related institutions (such as labour observatories); Other Ministries or Government institutions in charge of SDG statistical monitoring; - Employment and development policy analysts from National Statistical Offices, Research and Academic institutions, International organizations and Donor organizations; and - Officials responsible for managing the production and dissemination of labour market statistics, particularly for the SDG national reporting.
Source: Eurostat (Data extracted on: 29 May 2024 )
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Organizer(s): Eurostat ILO
Description: The Statistical Office of the European Union (Eurostat) in partnership with the International Labour Organization (ILO) has the pleasure of organising The Global Conference on Measuring New Forms of Employment in Brussels on 4-5 July 2024. Rapid changes impact labour markets, emphasising the need to advance the measurement of emerging forms of employment. This conference will gather high-profile policy makers and statistical experts from across Europe and around the World, who will provide input in the future development of reliable statistical information on digital and innovative economy in the labour market domain. Throughout the course of the conference, we intend to tackle issues linked to data sources, definitions and measurement. We also intend to explore current experiences in measuring the phenomenon of forms of employment, both at national and international levels, and new or forthcoming international recommendations. The event will bring together labour statisticians, data scientists, researchers, labour force analysts, policy users and stakeholders for this opportunity to have rich exchanges on future labour statistical measurements in a global perspective. Conference highlights: * Speeches from leaders and experts in the field; * Sessions on a wide range of topics; * Expertise and knowledge sharing.
Description: The demand for analysing labour market data has risen, in line with the prioritization of countries to better understand the functioning of the labour market and the impact of policies and programmes on outcomes, including unemployment, employment, and decent work indicators. The adoption of the 2030 Agenda for Sustainable Development requires governments and other stakeholders to monitor progress towards the defined goals and targets, including SDG 8 on Decent Work and Economic Growth. In line with the 2030 Agenda for Sustainable Development, governments have committed to policy action concerning decent employment creation and inclusive economic growth, with references to the demand-side, supply-side, and labour market policies. Hence, the need for good labour market governance and institutions able to collect, store, analyse, disseminate, and monitor labour market information has become paramount for evidence-based policy-making. A Labour Market Information System (LMIS) is "a network of institutions, persons and information that have mutually recognized roles, agreements, and functions with respect to the production, storage, dissemination, and use of labour market-related information and results in order to maximise the potential for relevant and applicable policy and programme formulation and implementation." The LMIS serves as a tool to aid decision-making in the area of labour market policy, and helps policy makers make informed policy decisions. Overall, an efficient LMIS will enhance the scope of evidence-based policy-making and facilitate the measurement of progress towards the achievement of the policy objectives set out in national employment strategies in line with the 2030 Agenda for Sustainable Development. Recognizing the rising demand of countries to better understand the functioning of Labour Market Information Systems (LMIS) doubled by the rising demand for measuring the impact of policies and programmes on labour market outcomes, the International Training Centre of the ILO in Turin (ITCILO) in close collaboration with the ILO Department of Statistics are proud to offer the course "Labour Market Information Systems (LMIS)".
Target Audience: National Statistical Offices (NSOs); Ministries of Labour and related Institutions (such as labour observatories); Governmental agencies in charge of labour market data analysis and SDG national reporting; ILO Social Partners (Employers' and workers' organizations), Research and academic institutions; International organizations; Development agencies; in addition to Non-governmental organizations.
Description: The demand for analyzing labour market data has risen, in line with the prioritization of countries to better understand the functioning of the labour market and the impact of policies and programmes on outcomes, including unemployment and employment. The adoption of the 2030 Agenda for Sustainable Development requires governments and other stakeholders to monitor progress towards the defined goals and targets, including SDG 8 on Decent Work and Economic Growth. At the same time, new measures of the labour market are evolving through the adoption of statistical standards by the International Conference of Labour Statisticians (ICLS). The 19th and 20th ICLS resolutions on work statistics are crucial for decent work related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. The analysis of labour market data relies on the availability of data, which has expanded in recent years, and the use of appropriate methodologies to identify key factors and trends relevant to evidence-based policymaking. In this regard, analysts and statisticians depend on statistical software that provides a user-friendly approach to data management, description, graphics and analysis. STATA is such a tool, which is powerful but easy-to-use, and is utilized across the world for analysing labour market data. Building on its long experience in delivering training on labour market statistics, the International Training Centre of the ILO in full collaboration with the ILO Department of Statistics is proud to offer this online training on using STATA for labour market analysis. Harnessing the latest ground-breaking distance learning technologies, the ITCILO is proudly offering this course online in full collaboration with the ILO Department of Statistics. - This course qualifies for the Labour Market Statistics & Analysis Diploma.
Target Audience: The course targets: - Labour Statisticians from national statistical offices; Ministries of labour and related institutions (such as labour observatories); Other Ministries or Government institutions in charge of SDG statistical monitoring; - Employment and development policy analysts from National Statistical Offices, Research and Academic institutions, International organizations and Donor organizations; and - Officials responsible for managing the production and dissemination of labour market statistics, particularly for the SDG national reporting.
Source: Eurostat (Data extracted on: 29 May 2024 )
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Organizer(s): Eurostat
Description: What are the skills sought-after by employers? How do they vary across EU countries? To answer these questions, Eurostat has developed an interactive tool to explore which are the most demanded skills in online job advertisements. In this webinar, you will learn more about the development of the Top & trending skills tool by our experts, and how you can navigate it to find useful information on the skills demand in Europe.
Source: World Bank (Data extracted on: 24 Apr 2024 )
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Organizer(s): World Bank
Description: In a survey experiment conducted in El Salvador, we explore whether alternative survey methods can alleviate the underreporting of women's and young men'slabor market outcomes, thus enhancing the measurement of gender- and age-based gaps. We compare two alternative methods—a List of Activities survey module (LOA) and enforced self-responses (ESR)—with a traditional household survey, which relies on proxy responses without an LOA module. Our findings reveal significant differences. The inclusion of the LOA module leads to higher reported work and employment rates for the average respondent compared to the standard household survey. Notably, the reported work gap between men and women decreases when using the LOA module. Furthermore, employing ESR reduces the age gap for male respondents' employment and work rates. Our research underscores the impact of peer examples of informal employment and social norms regarding domestic obligations on these outcomes. This study offers valuable insights into the potential of alternative survey methodologies to provide more accurate representations of labor market dynamics and address gender and age disparities in employment.
Description: Skills mismatching is a common concern of policy-makers, employers and workers. It is a recurring theme in vocational education and skills development, with many policy initiatives launched to address various forms of the phenomenon. Where evidence-based skills are concerned, policy-making statistics on various forms of skill mismatching are needed. Building on its long experience in delivering training on skills and labour-market analysis, the International Training Centre of the ILO, in full collaboration with the ILO Department of Statistics, offers the second edition of this online course that aims to equip national and international stakeholders with the necessary competencies to measure and analyse skills mismatches and imbalances for evidence-based policy making. The course is designed to enhance capacities to identify, collect, analyse and disseminate labour-market information related to skills imbalances from both the demand and supply sides.
Target Audience: National statistical offices (NSOs); ministries of labour and related institutions (such as labour observatories); governmental institutions engaged in employment, skills development, skills matching and analysis; international organizations and donor agencies engaged in skills matching; skills councils; national TVET authorities; TVET Centres; workers' and employers' organizations; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Description: The aim of the course is to better equip data officers serving in UN offices in using the new SDG statistical monitoring system. The course is designed to enhance capacities for identifying, collecting, analysing and disseminating labour-market information and other indicators related to decent work. It also emphasizes the latest ICLS Resolutions on the statistics of work relationships as an important pillar for measuring progress towards the 2030 Global Agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.
Target Audience: Data officers serving in UN offices.
Course Language: English
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Measuring and analysing the informality of jobs, economic units and productive activities continues to be a challenge for many developing countries; it hinders policymaking, as the contribution made by the informal economy is unaccounted for due to a lack of data and statistics. Bearing in mind the growing demand for a better understanding of the functioning of the informal economy and ways of measuring informal employment, the International Training Centre of the ILO in Turin (ITCILO), in close collaboration with the ILO Department of Statistics, is proud to offer this e-learning course on Measuring Informal Employment.
Title in French: Mesurer l'inadéquation des compétences
Organizer(s): ILO ITC ILO
Description: L'inadéquation des compétences est une préoccupation commune des décideurs politiques, des employeurs et des travailleurs. Il s'agit d'un thème récurrent dans l'enseignement professionnel et le développement des compétences, avec de nombreuses initiatives politiques lancées pour faire face aux diverses formes du phénomène. En ce qui concerne les compétences fondées sur des données factuelles, des statistiques d'élaboration des politiques sur les diverses formes d'inadéquation des compétences sont nécessaires. S'appuyant sur sa longue expérience dans la prestation de formations sur les compétences et l'analyse du marché du travail, le Centre international de formation de l'OIT, en pleine collaboration avec le Département des statistiques de l'OIT, propose la première édition de ce cours en ligne en français dans le but d'équiper les et des acteurs internationaux dotés des compétences nécessaires pour mesurer et analyser les inadéquations et les déséquilibres de compétences pour l'élaboration de politiques fondées sur des données probantes. Le cours est conçu pour renforcer les capacités d'identification, de collecte, d'analyse et de diffusion des informations sur le marché du travail liées aux déséquilibres de compétences du côté de la demande et de l'offre.
Target Audience: Offices nationaux de statistique (ONS) ; ministères du travail et institutions connexes (telles que les observatoires du travail); les institutions gouvernementales engagées dans l'emploi, le développement des compétences, l'adéquation et l'analyse des compétences ; les organisations internationales et les agences donatrices engagées dans l'adéquation des compétences ; conseils de compétences ; les autorités nationales de l'EFTP ; centres d'EFTP ; les organisations de travailleurs et d'employeurs; les établissements de recherche et universitaires; organisations internationales; agences de développement; organisations non-gouvernementales.
Course Language: French
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 25 Jan 2024 )
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Organizer(s): Eurostat
Description: Are you interested in unemployment statistics and want to learn more about the evolution of unemployment in the EU? During this webinar, you will get valuable insight into European statistics on unemployment, which is one of the key European economic indicators. Discover how these statistics are compiled and how the figures have evolved over time. To give an in-depth picture of the unemployment in the EU, we present selected results on unemployment across EU countries and additional indicators, such as the labour market slack and labour market transitions. The relevance of these data and the ways in which they inform EU policy are also discussed.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP ILO
Description: The causes and consequences of informal employment and employment in informal sector and their impact on achieving sustainable development continues to gain attention in national development agendas. The evidence in developing and emerging economies shows that on average more than half of the employment in non-agricultural sectors are informal and this rate can reach as high as 80% in some countries. Thereforeevery national policy targeting povertysocial protectionor decent work needs to recognise the role of the informal economy in national development. Yetthe lack of data and statistics on the informal economy hinders the capacity of countries to better inform decisions and development policies. This regional training course brings together statisticians and labour analysts from Asia-Pacific national statistical systems to discuss technical aspects and share experiences in the production and use of statistics on informality
Source: Eurostat (Data extracted on: 25 Jan 2024 )
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Organizer(s): Eurostat
Description: Do you want to find out more about job skills utilisation in the EU? To mark European Statistics Day, which was celebrated on 20 October, and the European Year of Skills, this webinar on jobs skills offers insights on the statistics available in this field. It can help you understand important topics such as: * skills demand and supply in the labour market; * educational attainment levels; * the level of digital skills; * specifics of working time. These data come from various statistical sources: the EU labour force survey (LFS), job vacancy statistics (JVS), and the EU survey on the use of information and communication technologies (ICT) in households and by individuals.
Description: Employment impact assessment is key to increasing the effectiveness of policies intended to promote decent jobs. In times of crisis of the kind the world is currently facing, the importance of timely and accurate assessment is greater than ever. In the light of these issues, the aim of this course is to improve the design and implementation of policies for the creation of decent jobs by building the capacity of all relevant stakeholders to identify, measure and assess the effects on employment of economic, sectoral, trade-related and labour market policies. Special attention will be paid to assessment of the impact on employment of pandemics like COVID-19.
Target Audience: This course will be of particular interest to: - Government officials involved in the design and implementation of policies impacting employment, in particular the staff of ministries of labour and employment, economy, planning, education and training; - Staff of programme-management teams from private-sector entities, non-governmental organizations and community-based organizations; -Operational staff of international organizations, regional development banks and bilateral donor agencies that design or finance programmes impacting employment.
Description: The International Conference of Labour Statisticians (ICLS) is a vehicle for standard-setting in labour statistics, hosted by the ILO every five years.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives of this course: * Understand how to collect Web Data regarding Online Job Vacancies and store them; * Understand of data processing techniques; * Base understand of data classification techniques on standard taxonomies and base understand of advanced techniques on taxonomies improvement.
Target Audience: Official statisticians working on big data methodology, data science and in employment and education statistics, as well as other statistical domains which can profit from this data source.
Description: Employment data on tourism are fundamental for understanding labour markets and formulating relevant policies for job creation, promoting employment opportunities, planning workforce needs and contributing to human resource development. Collecting this data also allows to address education and relevant training needs. This is important as the tourism sector suffers from a shortage of workers with the required minimum qualifications or skills, and as a motivated and skilled workforce is a key element for a destination’s competitiveness and sustainability. In addition, gender and decent work issues are important aspects of socio-cultural sustainability. Relevant gender-disaggregated data should allow to identify the share of women employed in tourism and owning tourism enterprises, the level of seniority in employment and existing pay- gaps. It also makes it possible to monitor the quality of jobs and, consequently, the wellbeing of the employees and their families. However, measuring tourism labour markets remains a challenge. Despite existing international recommendations, the different measurement methods and data sources result in fragmented outcomes. This INSTO INSIGHTS webinar discussed the experiences and lessons learned by selected experts and members of the UNWTO International Network of Sustainable Tourism Observatories (INSTO) in the field of measuring and monitoring employment at the destination level. The webinar derives directly from the 11 mandatory key issue areas for INSTO members and touched also upon the initiative Towards a Statistical Framework for Measuring the Sustainability of Tourism (MST).
Description: The aim of the course is to better equip data officers within the UN offices regarding the new SDG statistical monitoring system. The course is designed to enhance capacities for identifying, collecting, analysing and disseminating labour-market information and other indicators related to decent work. It also emphasizes the latest ICLS Resolutions on the statistics of work relationships as an important pillar for measuring progress towards the 2030 Global Agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.
Description: Labor market statistics are of major importance when addressing social and economic challenges. These statistics are typically derived from complex survey data collected on a monthly or quarterly basis. However, when it comes to small geographical areas or domains, survey samples often fail to provide reliable estimates. To address this issue, the Economic Commission for Latin America and the Caribbean (ECLAC) has put forth a standardized approach that utilizes area-level models, taking into account the multinomial nature of occupation statuses. Within a Bayesian framework, we define a both a linkage and a sampling model that enable the simultaneous estimation of a diverse set of indicators of interest, such as unemployment rates, occupation rates, and participation rates. This innovative approach proposed by ECLAC aims to overcome the limitations associated with traditional survey sampling methods, particularly in smaller areas where the precision of estimates may be compromised. To validate the effectiveness of our methodology, we conducted a design-based simulation, which revealed promising results and demonstrated the favorable performance of the proposed approach. Building upon this success, we proceeded to implement the methodology across several countries in Latin America, leveraging the extensive and reliable data repository provided by ECLAC's BADEHOG survey database. By adopting this standardized approach, ECLAC aims to enhance the accuracy and reliability of labor market statistics at both national and subnational levels. The utilization of area-level models and the incorporation of Bayesian techniques allow for more reliable estimations, thus enabling policymakers, researchers, and practitioners to make informed decisions and develop effective strategies to address labor market challenges in Latin America and the Caribbean region.
Title in Arabic: أكاديمية إحصاءات وتحليل سوق العمل للمنطقة العربية
Organizer(s): ILO ITC
Description: لا يزال تطوير أنظمة إحصائية قوية لإنتاج وجمع ونشر معلومات موثوقة وشاملة وفي الوقت المناسب عن سوق العمل أمرًا بالغ الأهمية لصنع السياسات القائمة على الأدلة ولتعزيز "العمالة الكاملة والمنتجة والعمل اللائق للجميع". يعد الطلب على البيانات الإحصائية عالية الجودة أمرًا ملحًا بشكل خاص في البلدان التي لا تسمح فيها النظم الإحصائية الحالية بالإنتاج المنتظم لإحصاءات سوق العمل الموثوقة وذات الصلة في الوقت المناسب. علاوة على ذلك، أدت التغييرات السريعة في عالم العمل، التي تسارعت بسبب جائحة كوفيد 19 ، إلى زيادة الضغط على الأنظمة الإحصائية الحالية لابتكار وإنتاج مؤشرات جديدة وأفضل لقياس حقائق سوق العمل المتغيرة. تعتبر المعايير الإحصائية المبتكرة التي وضعها المؤتمران الدوليان التاسع عشر والعشرون لإحصاءات العمل فيما يتعلق بإحصاءات العمل وعلاقات العمل ضرورية للهدف الشامل المتمثل في تحقيق العمل اللائق للجميع. لقد ثبت بالفعل أهميتها في المراقبة الفعالة لأسواق العمل خلال الأوقات العادية وخلال أوقات الأزمات في العديد من البلدان في جميع أنحاء العالم. إن القرارات والمبادئ التوجيهية التي اعتمدها المؤتمر الدولي العشرون لخبراء إحصاءات العمل حول موضوعات مثل هجرة اليد العاملة وعلاقات العمل، وقياس الامتثال لحقوق العمال، وقياس وجود استراتيجيات التوظيف للشباب، وما إلى ذلك، سوف تساهم بشكل كبير في رصد التقدم المحرز نحو تحقيق أهداف التنمية المستدامة ، لأنها ترتبط ارتباطًا وثيقًا بالعديد من مؤشرات أهداف التنمية المستدامة. مع أخذ هذه التطورات الأخيرة في الاعتبار ، تفخر إدارة الإحصاء التابعة لمنظمة العمل الدولية ، المركز الدولي للتدريب التابع لمنظمة العمل الدولية (ITCILO) ، بالتعاون مع المكتب الإقليمي لمنظمة العمل الدولية للدول العربية ، بتنظيم الأكاديمية المصغرة لإحصاءات سوق العمل للمشاركين في المنطقة العربية. ستقام الأكاديمية عبر الإنترنت وتوفر فرصة رائعة للتعلم والتفكير في التحديات المستمرة التي تواجه النظم الإحصائية في العالم العربي والتعرف على أحدث المعايير الإحصائية الدولية التي تعتبر ضرورية لتعزيز العمل اللائق في البلاد العربية.
Target Audience: يشمل الجمهور المستهدف للأكاديمية: • إحصائيو العمل من المكاتب الإحصائية الوطنية. وزارات العمل والمؤسسات ذات الصلة (مثل مراصد المختبرات) ؛ الوزارات أو المؤسسات الحكومية الأخرى المسؤولة عن الرصد الإحصائي لأهداف التنمية المستدامة ، والشركاء الاجتماعيين لمنظمة العمل الدولية، • محللو سياسات التوظيف والتنمية من مكاتب الإحصاء الوطنية، والمؤسسات البحثية والأكاديمية، والمنظمات الدولية، والمنظمات المانحة، • الموظفون المسؤولون عن إدارة إنتاج ونشر إحصاءات سوق العمل، ولا سيما التقارير الوطنية الخاصة بأهداف التنمية المستدامة، • الموظفون المسؤولون عن تحليل إحصاءات سوق العمل وإصدار تقارير تحليلية للمساعدة في صنع السياسات القائمة على الأدلة.
Description: Improving the knowledge base in the area of labour statistics, particularly labour migration statistics, will contribute to a better understanding of the underlying causes of poverty and social exclusion. Accurate, robust and timely data collected in accordance with international standards is therefore necessary for devising effective labour migration policies, which are essential for improving the welfare of international migrant workers and addressing the challenges related to international labour migration, globally and at the national level. Finally, in order to assess the coherence of employment and labour-migration policies, and identify where current and potential challenges remain, there is a need to collect and analyse appropriate quantitative and qualitative information in a systematic way. The International Training Centre of the ILO (ITCILO), in partnership with the ILO Department of Statistics and the Labour Migration Branch of the International Labour Organization, is therefore proud to present the second edition of its E-Learning Course on Measuring and Analyzing Labour Migration. The aim of the course is "to equip national and international stakeholders with the necessary capacities to better measure and analye international labour migration and produce timely, high-quality, up-to-date international labour migration statistics, to report on the critical indicators of labour migration statistics based on the implementation of international statistical standards and guidelines for evidence-based policymaking.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); ministries of manpower and migration; ministries responsible for nationals living abroad; ministries of foreign and home affairs; governmental agencies responsible for labour-market data analysis and national SDG reporting; governmental agencies responsible for labour migration, and analysis of migrant workers; research and academic institutions; international organizations; regional economic communities (RECs); development agencies; non-governmental organizations.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives of this course: * Understand how to collect Web Data regarding Online Job Vacancies and store them; * Understand of data processing techniques; * Base understand of data classification techniques on standard taxonomies and base understand of advanced techniques on taxonomies improvement.
Target Audience: Official statisticians working on big data methodology, data science and in employment and education statistics, as well as other statistical domains which can profit from this data source.
Description: The demand for analyzing labour market data has risen, in line with the prioritization of countries to better understand the functioning of the labour market and the impact of policies and programmes on outcomes, including unemployment and employment. The adoption of the 2030 Agenda for Sustainable Development requires governments and other stakeholders to monitor progress towards the defined goals and targets, including SDG 8 on Decent Work and Economic Growth. At the same time, new measures of the labour market are evolving through the adoption of statistical standards by the International Conference of Labour Statisticians (ICLS). The 19th and 20th ICLS resolutions on work statistics are crucial for decent work related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. The analysis of labour market data relies on the availability of data, which has expanded in recent years, and the use of appropriate methodologies to identify key factors and trends relevant to evidence-based policymaking. In this regard, analysts and statisticians depend on statistical software that provides a user-friendly approach to data management, description, graphics and analysis. STATA is such a tool, which is powerful but easy-touse, and is utilized across the world for analysing labour market data. Building on its long experience in delivering training on labour market statistics, the International Training Centre of the ILO in full collaboration with the ILO Department of Statistics is proud to offer the training Advanced STATA for labour market analysis. Harnessing the latest ground-breaking learning technologies, the ITCILO is proudly offering this course as face to face activity in Turin in full collaboration with the ILO Department of Statistics.
Target Audience: The course targets: - Labour Statisticians from national statistical offices; Ministries of labour and related institutions (such as labour observatories); Other Ministries or Government institutions in charge of SDG statistical monitoring; - Employment and development policy analysts from National Statistical Offices, Research and Academic institutions, International organizations and Donor organizations; and - Officials responsible for managing the production and dissemination of labour market statistics, particularly for the SDG national reporting.
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyse the labour market for the purposes of evidence-based policymaking, including SDGs and decent work indicators.
Target Audience: Statisticians and analysts from national statistical offices, ministries of labour and related institutions (such as labour observatories) and other government agencies responsible for labour-market data analysis and national SDG reporting; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Course Language: English
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The aim of this course is to develop institutional capacities for the operationalization of Labour Market Information Systems (LMIS). The focus is on building links with data sources that feed the system, produce and store selected indicators in a centralized repository, and make them available for generating reports on labour-market performance. Such systems are also powerful tools for labour-market matching and evidence-based policymaking.
Target Audience: Statisticians and analysts from national statistical offices, ministries of labour and related institutions (such as labour observatories) and other government agencies responsible for labour-market data analysis and national SDG reporting; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Description: UNSD participated in the 7th online meeting of the Technical Working Group on the International Standard Classification of Occupations (ISCO-08) that took place from 17- 18 April 2023. The Technical Working Group on ISCO-08 was established by the International Labour Organization (ILO) in May 2021 to revise ISCO-08, based on the recommendations of the 20th International Conference of Labour Statisticians (ICLS) to revise ISCO-08. The aim finalize the revised ISCO for the 22nd ICLS in 2028.
Description: The aim of this course is to develop institutional capacities for the operationalization of Labour Market Information Systems (LMIS). The focus is on building links with data sources that feed the system, produce and store selected indicators in a centralized repository, and make them available for generating reports on labour-market performance. Such systems are also powerful tools for labour market matching and evidence-based policymaking.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyse the labour market for the purposes of evidence-based policymaking, including SDGs and decent work indicators.
Organizer(s): ILO ITC ILO OECD European Training Foundation European Centre for the Development of Vocational Training
Description: Skills mismatching is a common concern of policymakers, employers and workers. It is a recurring theme in vocational education and skills development, with many policy initiatives launched to address various forms of the phenomenon. Where evidence-based skills are concerned, policymaking statistics on various forms of skill mismatching are needed. Building on its long experience in delivering training on skills and labour-market analysis, the International Training Centre of the ILO, in full collaboration with the ILO Department of Statistics, offers the second edition of this online course that aims to equip national and international stakeholders with the necessary competencies to measure and analyse skills mismatches and imbalances for evidence-based policymaking. The course is designed to enhance capacities to identify, collect, analyse and disseminate labour-market information related to skills imbalances from both the demand and supply sides.
Target Audience: National statistical offices (NSOs); ministries of labour and related institutions (such as labour observatories); governmental institutions engaged in employment, skills development, skills matching and analysis; international organizations and donor agencies engaged in skills matching; skills councils; national TVET authorities; TVET centres; workers' and employers' organizations; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Description: The Brazilian Labour Force Survey (BLFS) is a quarterly rotating panel survey with 80% sample overlap between two successive quarters. We will present time series models developed to produce model-based single month estimates at national level as well as small area (state-level) estimates, which are both at a higher frequency than those currently being published. In addition, multivariate time series models that integrate survey data and Google Trends series for nowcasting are considered. High dimensionality problems are solved using a dynamic state space model. In this case, we also discuss the choice of search terms and approaches for targeting predictors in the dimensionality reduction process. The models account for the autocorrelation due to sample overlap and the increased volatility in the labour force series in 2020. This is joint work with Luna Hidalgo (IBGE) e and Jan van den Brakel (Statistics Netherlands and Maastricht University).
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The adoption of the 2030 Agenda for Sustainable Development requires governments and stakeholders to monitor progress towards the defined goals and targets relating to decent work and economic growth. The 19th and 20th ICLS Resolutions on work statistics are crucial for the analysis of decent-work-related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. A strong statistical system for producing, collecting and disseminating reliable, comprehensive and timely labour-market information is critical for evidence-based policymaking which promotes "full and productive employment and decent work for all". The ILO Department of Statistics, in close collaboration with the International Training Centre of the ILO, is proud to be organizing the 2021 Labour Market Statistics and Analysis Academy, with a particular focus on the outcomes of the 19th and 20th ICLS concerning emerging trends in the world of work and the SDG monitoring framework for measuring decent work and supporting evidence-based policymaking. The main objective of the Academy is to better equip and situate national and international stakeholders in the new SDG statistical monitoring system. The Academy is designed to enhance institutional capacity for identifying, collecting, analysing and disseminating labour-market information and other indicators related to decent work. Moreover, the Academy emphasizes the 20th ICLS Resolution on the statistics of work relationships as an important pillar for measuring progress towards the 2030 agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO social partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations.
Course Language: English
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The aim of the course is to better equip data officers within the UN offices regarding the new SDG statistical monitoring system. The course is designed to enhance capacities for identifying, collecting, analysing and disseminating labour-market information and other indicators related to decent work. It also emphasizes the latest ICLS Resolutions on the statistics of work relationships as an important pillar for measuring progress towards the 2030 Global Agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.
Target Audience: Data officers within the UN offices.
Course Language: English
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This course aims to enhance national capacities to produce and collect data on informal employment and categories of informal workers as part of the diagnostic phase of the above intervention model. The course also aims to promote the collection of data on the number of entrepreneurs and economic units in the informal economy, and their characteristics, as an integral part of national labour statistics, following R.204 guidelines on promoting formalization at national level.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); ministries of manpower and migration; ministries responsible for nationals living abroad; ministries of foreign and home affairs; governmental agencies responsible for labour-market data analysis and national SDG reporting; governmental agencies responsible for labour migration, and analysis of migrant workers; research and academic institutions; international organizations; regional economic communities (RECs), development agencies; non-governmental organizations.
Description: The adoption of the 2030 Agenda for Sustainable Development requires governments and stakeholders to monitor progress towards the defined goals and targets relating to decent work and economic growth. The 19th and 20th ICLS Resolutions on work statistics are crucial for the analysis of decent-work-related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. A strong statistical system for producing, collecting and disseminating reliable, comprehensive and timely labour-market information is critical for evidence-based policymaking which promotes "full and productive employment and decent work for all". The ILO Department of Statistics, in close collaboration with the International Training Centre of the ILO, is proud to be organizing the 2021 Labour Market Statistics and Analysis Academy, with a particular focus on the outcomes of the 19th and 20th ICLS concerning emerging trends in the world of work and the SDG monitoring framework for measuring decent work and supporting evidence-based policymaking. The main objective of the Academy is to better equip and situate national and international stakeholders in the new SDG statistical monitoring system. The Academy is designed to enhance institutional capacity for identifying, collecting, analysing and disseminating labour-market information and other indicators related to decent work. Moreover, the Academy emphasizes the 20th ICLS Resolution on the statistics of work relationships as an important pillar for measuring progress towards the 2030 agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO social partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations.
Course Language: English
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The adoption of the 2030 Agenda for Sustainable Development requires governments and stakeholders to monitor progress towards the defined goals and targets relating to decent work and economic growth. The 19th and 20th ICLS Resolutions on work statistics are crucial for the analysis of decent-work-related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. A strong statistical system for producing, collecting and disseminating reliable, comprehensive and timely labour-market information is critical for evidence-based policymaking which promotes "full and productive employment and decent work for all". The ILO Department of Statistics, in close collaboration with the International Training Centre of the ILO, is proud to be organizing the 2021 Labour Market Statistics and Analysis Academy, with a particular focus on the outcomes of the 19th and 20th ICLS concerning emerging trends in the world of work and the SDG monitoring framework for measuring decent work and supporting evidence-based policymaking. The main objective of the Academy is to better equip and situate national and international stakeholders in the new SDG statistical monitoring system. The Academy is designed to enhance institutional capacity for identifying, collecting, analysing and disseminating labour-market information and other indicators related to decent work. Moreover, the Academy emphasizes the 20th ICLS Resolution on the statistics of work relationships as an important pillar for measuring progress towards the 2030 agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO Social Partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations.
Source: Eurostat (Data extracted on: 13 Apr 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Understand how to collect Web Data regarding Online Job Vacancies and store them Understand of data processing techniques Base understand of data classification techniques on standard taxonomies and base understand of advanced techniques on taxonomies improvement
Target Audience: Official statisticians working on big data methodology, data science and in employment and education statistics, as well as other statistical domains which can profit from this data source.
Description: Volunteer work, often referred to simply as "volunteering," is an essential renewable resource for social, economic and environmental progress all over the world. The contribution of volunteers to the well-being of individuals and communities plays an important role in keeping societies and communities together, building social cohesion and meeting the needs of many disadvantaged groups facing daily life challenges, especially during times of crisis. Recognizing this, the 2030 Sustainable Development Agenda calls on governments to work closely with volunteer groups for the achievement of the Sustainable Development Goals. For this purpose, however, basic information on the number and characteristics of persons working willingly and without pay to support others is needed. Such information can help in producing better economic and social policies. Despite the widely acknowledged importance of volunteer work in society, little sustained effort has gone into measuring and analysing volunteer work in most countries. This course presents tools and recommendations provided by the 19th ICLS, with a particular focus on the LFSs add-on module, that experts can use to produce statistics on volunteer work. By supplementing existing data on employment and unpaid housework, statistics on volunteer work can facilitate a more complete understanding of the multiple ways in which people produce goods and services to satisfy their own and others' needs. The objective is to make available comparative cross-national data on a significant form of work that is growing in importance but is often ignored or rarely captured in traditional economic statistics. The ILO Department of Statistics, in collaboration with the ITCILO, is therefore proud to offer the first online edition of this course designed to guide countries in generating systematic and comparable data on volunteer work by adding modules to labour-force or other household surveys. To unlock the full potential of volunteer work and contribute to the achievement of important development goals, it is essential to have relevant and reliable statistics on this subject.
Target Audience: The course targets statisticians from national statistical offices, ministries of labour and other institutions involved in the production of work-related and social statistics; governmental agencies responsible for developing and implementing volunteering policies, labour-market data analysis and national SDG reporting; ILO Social Partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations; employment and development policy analysts working for national statistical offices, research and academic institutions, international organizations and donor organizations.
Description: Employment impact assessment is key to increasing the effectiveness of policies intended to promote decent jobs. Anticipating the impact of economic disruptions on employment or measuring the ex-post effects of interventions on jobs provides the evidence needed to improve the design and implementation of policies. In times of crisis of the kind the world is currently facing, the importance of timely and accurate assessment is greater than ever. In close collaboration with the Employment Policy Department of the ILO, the ITCILO is offering this course in an innovative e-learning format. Join us to learn how to assess the impacts of policies on employment, flexibly and without needing to travel!
Target Audience: This course will be of particular interest to government officials involved in the design and implementation of policies impacting employment, in particular the staff of ministries of labour and employment, economy, planning, education and training; the staff of programme-management teams from private-sector entities, non-governmental organizations and community-based organizations; the operational staff of international organizations, regional development banks and bilateral donor agencies that design or finance programmes impacting employment.
Description: Improving the knowledge base in the area of labour statistics, particularly labour migration statistics, will contribute to a better understanding of the underlying causes of poverty and social exclusion. Accurate, robust and timely data, collected in accordance with international standards, is therefore necessary for devising effective labour migration policies, which are essential for improving the welfare of international migrant workers and addressing the challenges related to international labour migration, globally and at the national level. Finally, in order to assess the coherence of employment and labour-migration policies, and identify where current and potential challenges remain, there is a need to collect and analyze appropriate quantitative and qualitative information in a systematic way. The International Training Centre of the ILO (ITCILO), in partnership with the ILO Department of Statistics and the Labour Migration Branch of the International Labour Organization, is therefore proud to present the second edition of its E-Learning Course on Measuring and Analyzing Labour Migration. The aim of the course is "to equip national and international stakeholders with the necessary capacities to better measure and analyze international labour migration and produce timely, high-quality, updated international labour migration statistics, to report on the critical indicators of labour migration statistics based on the implementation of international statistical standards and guidelines for evidence-based policy-making.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); ministries of manpower and migration; ministries responsible for nationals living abroad; ministries of foreign and home affairs; governmental agencies responsible for labour-market data analysis and national SDG reporting; governmental agencies responsible for labour migration, and analysis of migrant workers; research and academic institutions; international organizations; regional economic communities (RECs), development agencies; non-governmental organizations.
Description: Improving the knowledge base in the area of labour statistics, particularly labour migration statistics, will contribute to a better understanding of the underlying causes of poverty and social exclusion. Accurate, robust and timely data, collected in accordance with international standards, is therefore necessary for devising effective labour migration policies, which are essential for improving the welfare of international migrant workers and addressing the challenges related to international labour migration, globally and at the national level. Finally, in order to assess the coherence of employment and labour-migration policies, and identify where current and potential challenges remain, there is a need to collect and analyze appropriate quantitative and qualitative information in a systematic way. The International Training Centre of the ILO (ITCILO), in partnership with the ILO Department of Statistics and the Labour Migration Branch of the International Labour Organization, is therefore proud to present the second edition of its E-Learning Course on Measuring and Analyzing Labour Migration. The aim of the course is "to equip national and international stakeholders with the necessary capacities to better measure and analyze international labour migration and produce timely, high-quality, updated international labour migration statistics, to report on the critical indicators of labour migration statistics based on the implementation of international statistical standards and guidelines for evidence-based policy-making.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); ministries of manpower and migration; ministries responsible for nationals living abroad; ministries of foreign and home affairs; governmental agencies responsible for labour-market data analysis and national SDG reporting; governmental agencies responsible for labour migration, and analysis of migrant workers; research and academic institutions; international organizations; regional economic communities (RECs), development agencies; non-governmental organizations.
Description: UNWTO, the German Development Agency (GIZ) and UN Women are collaborating on an innovative project focused around the UNWTO Action Plan on Women in Tourism that arose from the findings of the Global Report on Women in Tourism, Second Edition. The Centre Stage project will see UNWTO foster commitment, provide support and monitor implementation of the Action Plan on Women in Tourism in four countries across the Middle East and the Americas. It aims to place women’s empowerment and gender-equality centre stage during tourism’s recovery from COVID-19 and increase the production and reporting of sex-disaggregated tourism data. As recent UNWTO publications on women in tourism have found, there is an acute lack of available, sex-disaggregated data on employment in the tourism sector and an urgent need to improve the collection of comparable tourism data and gender statistics across world regions. Sex-disaggregated data is particularly critical for developing evidence-based policies and programmes to strengthen the tourism sector’s contribution to the achievement of gender equality and women’s empowerment as the sector recovers from the COVID-19 pandemic.
Target Audience: * National Tourism Administration representative(s); * National Statistics Authority representative(s); * National Employment Authority representative(s); * National Gender Mechanism representative(s).
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyse the labour market for the purposes of evidence-based policymaking, including SDG and decent work indicators.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO Social Partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations.
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): Eurostat
Description: Are you interested in labour market statistics and want to learn more about the evolution of the EU labour market in 2021 in the light of the COVID-19 pandemic? In this online webinar, you get valuable insight into the latest data on employment from the EU Labour Force Survey (LFS), the largest European household sample survey. Discover how the EU labour market evolved in 2021 compared with previous years and learn more about how it was impacted by the COVID-19 crisis. With 2022 being the European Year of Youth, we have put a special focus on the employment of young people aged 15-29 years in the EU.
Description: As part of the Centre Stage project, UNWTO is reinforcing its commitment to provide support to increase the production and reporting of sex-disaggregated tourism data in different regions. As recent UNWTO publications on women in tourism have found, there is an acute lack of available, sex-disaggregated data on employment in the tourism sector and an urgent need to improve the collection of comparable tourism data and gender statistics across world regions. Sex-disaggregated data is particularly critical for developing evidence-based policies and programmes to strengthen the tourism sector’s contribution to the achievement of gender equality and women’s empowerment as the sector recovers from the COVID-19 pandemic. Programme overview Understanding the inherent complexity of measuring tourism employment with rigor, finding out that is feasible; Learning how to address a far needed monitoring: sex-disaggregated tourism employment; Inspiration by countries explaining their own experience to be able to measure tourism employment and its disaggregation by sex. Workshop Learning Objectives The goal of this workshop is to become familiar with how tourism employment is measured, its complexity, and how sex – disaggregated data for tourism employment can be obtained. The participants will also have the opportunity to learn from countries that have been able to overcome barriers to achieve it. By the end of this workshop, participants will: Understand the complexity and how to measure tourism employment; Understand different approaches to achieve sex-disaggregated data on tourism employment; Be able to structure their own country’s approach to start measuring sex-disaggregated data on tourism employment.
Target Audience: * National Tourism Administration representative(s), * National Statistics Authority representative(s), * National Employment Authority representative(s), * National Gender Mechanism representative(s).
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyse the labour market for the purposes of evidence-based policymaking, including SDG and decent work indicators.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Understand how to collect Web Data regarding Online Job Vacancies and store them; * Understand of data processing techniques; * Base understand of data classification techniques on standard taxonomies and base understand of advanced techniques on taxonomies improvement.
Target Audience: Official statisticians working on big data methodology, data science and in employment and education statistics, as well as other statistical domains which can profit from this data source.
Description: Skills mismatching is a common concern of policy-makers, employers and workers. It is a recurring theme in vocational education and skills development, with many policy initiatives launched to address various forms of the phenomenon. Where evidence-based skills are concerned, policy-making statistics on various forms of skill mismatching are needed. Building on its long experience in delivering training on skills and labour-market analysis, the International Training Centre of the ILO, in full collaboration with the ILO Department of Statistics, offers the second edition of this online course that aims to equip national and international stakeholders with the necessary competencies to measure and analyse skills mismatches and imbalances for evidence-based policy making. The course is designed to enhance capacities to identify, collect, analyse and disseminate labour-market information related to skills imbalances from both the demand and supply sides.
Target Audience: National statistical offices (NSOs); ministries of labour and related institutions (such as labour observatories); governmental institutions engaged in employment, skills development, skills matching and analysis; international organizations and donor agencies engaged in skills matching; skills councils; national TVET authorities; TVET Centres; workers' and employers' organizations; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘Labour Statistics’ for the benefit of National Statistical Offices (NSOs) of Arabic speaking OIC countries on 15-16 February 2022. Ms. Suha Waleed Kana’an, Director of Labour Statistics Department at the Palestinian Central Bureau of Statistics (PCBS), will conduct the course and cover the following topics: Overview of Labour Cost Meaning, Objectives and Important of Labour Cost How to Calculate Direct Labour Cost Quantity Survey: Labour Cost How to Calculate Labour Cost and its Items The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: The adoption of the 2030 Agenda for Sustainable Development requires governments and stakeholders to monitor progress towards the defined goals and targets relating to decent work and economic growth. The 19th and 20th ICLS Resolutions on work statistics are crucial for the analysis of decent-work-related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. A strong statistical system for producing, collecting and disseminating reliable, comprehensive and timely labour-market information is critical for evidence-based policy-making which promotes “full and productive employment and decent work for all”.
Description: The adoption of the 2030 Agenda for Sustainable Development requires governments and stakeholders to monitor progress towards the defined goals and targets relating to decent work and economic growth. The 19th and 20th ICLS Resolutions on work statistics are crucial for the analysis of decent-work-related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. A strong statistical system for producing, collecting and disseminating reliable, comprehensive and timely labour-market information is critical for evidence-based policy-making which promotes "full and productive employment and decent work for all". The ILO Department of Statistics, in close collaboration with the International Training Centre of the ILO, is proud to be organizing the 2021 Labour Market Statistics and Analysis Academy, with a particular focus on the outcomes of the 19th and 20th ICLS concerning emerging trends in the world of work and the SDG monitoring framework for measuring decent work and supporting evidence-based policy-making. The main objective of the Academy is to better equip and situate national and international stakeholders in the new SDG statistical monitoring system. The Academy is designed to enhance institutional capacity for identifying, collecting, analysing and disseminating labour-market information and other indicators related to decent work. Moreover, the Academy emphasizes the 20th ICLS Resolution on the statistics of work relationships as an important pillar for measuring progress towards the 2030 agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO Social Partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations.
Course Language: English
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Organizer(s): ESCWA Qatar Computing Research Institute
Description: ESCWA, in partnership with Emsi and the Qatar Computing Research Institute, is conducting a virtual expert group meeting to discuss the draft report on the future of work in the Arab region. The aim of this meeting is to discuss whether labour markets in the Arab region are prepared for future employment opportunities. The meeting centres on discussion of the primary results of ESCWA's skills monitoring data. The meeting involves policymakers and experts in labour market policies and in artificial intelligence-based policy tools. The meeting also includes representatives from the private sector, academia, and regional/international organizations working in the area of future of work in the region. The EGM consists of two sessions, with presentations on: Data coverage and its limitations; The report's main findings; The future of skills and labour market mismatch in the Arab region; Policy recommendations.
Description: The current statistical standards of informality includes the Resolution concerning statistics of employment in the informal sector that defines the informal sector and employment in the informal sector as well as the Guidelines concerning a statistical definition of informal employment, which defines informal employment.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: World Bank (Data extracted on: 29 Sep 2021 )
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Organizer(s): World Bank
Description: The Worldwide Bureaucracy Indicators (WWBI) is a cross-national dataset on public sector employment and wages. The indicators are derived using a consistent methodology from micro-data based on nationally representative labor force and household surveys, and administrative data. WWBI is the most comprehensive data set of its kind with 192 indicators from 200 countries. Its is a product of the Bureaucracy Lab, a collaboration between the Governance Global Practice and the Development Impact Evaluation (DIME) Department in the Research Group.
Description: Volunteer work, often referred to simply as "volunteering," is a crucial renewable resource for social and environmental problem-solving the world over. The scale of such work is enormous and the contributions it makes to the quality of life in countries everywhere larger still. Despite this, however, little sustained effort has gone into its measurement. The objective is to make available comparative cross-national data on a significant form of work that is growing in importance but is often ignored or rarely captured in traditional economic statistics. Doing so will help to fulfill the United Nations Secretary General's recommendations in his follow-up to the implementation of the International Year of Volunteers report (United Nations, 2005) that governments should "vigorously" pursue "actions to build up a knowledge base" about volunteer work and to "establish the economic value of volunteering". The ILO Department of Statistics, in collaboration with the ITCILO, is therefore proud to offer the first online edition of this course designed to guide countries in generating systematic and comparable data on volunteer work via regular supplements to labour-force or other household surveys. This will support evidence-based policy-making and help realize the vision of the UN Secretary General: building a strong database on volunteer work will have a solid impact on macro-economic policies, as well as furthering the ILO Decent Work agenda.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); ministries of manpower and migration; ministries responsible for nationals living abroad; ministries of foreign and home affairs; governmental agencies responsible for labour-market data analysis and national SDG reporting; governmental agencies responsible for labour migration, and analysis of migrant workers; research and academic institutions; international organizations; regional economic communities (RECs), development agencies; non-governmental organizations.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘Labour Supply, Demand and Productivity Statistics’ for the benefit of General Bureau of Statistics (ABS) of Suriname and other National Statistical Offices (NSOs) of OIC Member Countries on 13-15 September 2021. Ms. Samiah Ponggot, Deputy Director; Ms. Rosnah Muhamad Ali, Ms. Wan Roslida Othman, and Ms. Nur Layali Mohd Ali Khan, Statisticians at Department of Statistics Malaysia (DOSM), will conduct the course and cover the following topics: Labour Supply: Concept and Definition, Method of Data Collection and Sampling Design, Labour Force Statistics, and New Indicator Released (Underemployment) Labour Demand: Concept and Definition, Sampling Design, Data Collection, Data Processing, and Employment Statistics (Dissemination) Labour Productivity: Concept, Definition and Data Sources, Component of Labour Productivity, and Approach of Labour Productivity Estimate Labour Market Data Analysis: Linking the Data Dimensions to Inform Policy Decisions The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: Volunteer work, often referred to simply as “volunteering,” is a crucial renewable resource for social and environmental problem-solving the world over. The scale of such work is enormous and the contributions it makes to the quality of life in countries everywhere larger still. Despite this, however, little sustained effort has gone into its measurement. The objective is to make available comparative cross-national data on a significant form of work that is growing in importance but is often ignored or rarely captured in traditional economic statistics. Doing so will help to fulfill the United Nations Secretary General’s recommendations in his follow-up to the implementation of the International Year of Volunteers report (United Nations, 2005) that governments should “vigorously” pursue “actions to build up a knowledge base” about volunteer work and to “establish the economic value of volunteering”. The ILO Department of Statistics, in collaboration with the ITCILO, is therefore proud to offer the first online edition of this course designed to guide countries in generating systematic and comparable data on volunteer work via regular supplements to labour-force or other household surveys. This will support evidence-based policy-making and help realize the vision of the UN Secretary General: building a strong database on volunteer work will have a solid impact on macro-economic policies, as well as furthering the ILO Decent Work agenda.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Improving the knowledge base in the area of labour statistics, particularly labour migration statistics, will contribute to a better understanding of the underlying causes of poverty and social exclusion. Accurate, robust and timely data, collected in accordance with international standards, is therefore necessary for devising effective labour migration policies, which are essential for improving the welfare of international migrant workers and addressing the challenges related to international labour migration, globally and at the national level. Finally, in order to assess the coherence of employment and labour-migration policies, and identify where current and potential challenges remain, there is a need to collect and analyze appropriate quantitative and qualitative information in a systematic way. The International Training Centre of the ILO (ITCILO), in partnership with the ILO Department of Statistics and the Labour Migration Branch of the International Labour Organization, is therefore proud to present the second edition of its E-Learning Course on Measuring and Analyzing Labour Migration. The aim of the course is “to equip national and international stakeholders with the necessary capacities to better measure and analyze international labour migration and produce timely, high-quality, updated international labour migration statistics, to report on the critical indicators of labour migration statistics based on the implementation of international statistical standards and guidelines for evidence-based policy-making.”
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Improving the knowledge base in the area of labour statistics, particularly labour migration statistics, will contribute to a better understanding of the underlying causes of poverty and social exclusion. Accurate, robust and timely data, collected in accordance with international standards, is therefore necessary for devising effective labour migration policies, which are essential for improving the welfare of international migrant workers and addressing the challenges related to international labour migration, globally and at the national level. Finally, in order to assess the coherence of employment and labour-migration policies, and identify where current and potential challenges remain, there is a need to collect and analyze appropriate quantitative and qualitative information in a systematic way. The International Training Centre of the ILO (ITCILO), in partnership with the ILO Department of Statistics and the Labour Migration Branch of the International Labour Organization, is therefore proud to present the second edition of its E-Learning Course on Measuring and Analyzing Labour Migration. The aim of the course is "to equip national and international stakeholders with the necessary capacities to better measure and analyze international labour migration and produce timely, high-quality, updated international labour migration statistics, to report on the critical indicators of labour migration statistics based on the implementation of international statistical standards and guidelines for evidence-based policy-making."
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); ministries of manpower and migration; ministries responsible for nationals living abroad; ministries of foreign and home affairs; governmental agencies responsible for labour-market data analysis and national SDG reporting; governmental agencies responsible for labour migration, and analysis of migrant workers; research and academic institutions; international organizations; regional economic communities (RECs), development agencies; non-governmental organizations.
Description: Employment impact assessment is key to increase the effectiveness of policies intended to promote decent jobs. To anticipate the impact of economic disruptions on employment or to measure the ex-post effects of interventions on jobs provides the evidence needed to improve the design and implementation of policies. In times of crisis as the one the world is currently facing, the importance of timely and accurate assessment is stronger than ever. In close collaboration with the Employment Policy Department of the ILO, the ITCILO is offering this course in an innovative e-learning format. Join us to learn how to assess the impacts of policies on employment, flexibly and without needing to travel!
Target Audience: This course will be of particular interest to: - government officials involved in the design and implementation of policies impacting employment, in particular the staff of ministries of labour and employment, economy, planning, education and training; - the staff of programme-management teams from private-sector entities, nongovernmental organizations and community-based organizations; - the operational staff of international organizations, regional development banks and bilateral donor agencies that design or finance programmes impacting employment.
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyze the labour market for the purposes of evidence-based policy-making, including SDG and decent work indicators.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyze the labour market for the purposes of evidence-based policy-making, including SDG and decent work indicators.
Target Audience: Statisticians and analysts from national statistical offices, ministries of labour and related institutions (such as labour observatories) and other government agencies responsible for labour-market data analysis and national SDG reporting; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): ESCAP ESCAP SIAP
Description: This course is designed to create a foundation on Labour Accounts. The main objectives of this course are to outline the general principles for compiling a labour accountintroduce the International Labour Organization’s four-step process for creating a labour accountand describe the benefits of producing a labour account.
Description: Skills mismatching is a common concern of policy-makers, employers and workers. It is a recurring theme in vocational education and skills development, with many policy initiatives launched to address various forms of the phenomenon. Where evidence-based skills are concerned, policy-making statistics on various forms of skill mismatching are needed. Building on its long experience in delivering training on skills and labour-market analysis, the International Training Centre of the ILO, in full collaboration with the ILO Department of Statistics, offers the second edition of this online course that aims to equip national and international stakeholders with the necessary competencies to measure and analyse skills mismatches and imbalances for evidence-based policy making. The course is designed to enhance capacities to identify, collect, analyse and disseminate labour-market information related to skills imbalances from both the demand and supply sides.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: In this webinar, we will present the different approaches and tools for measuring the scale, scope and value of volunteering. Our speakers will also share experiences across different countries on the challenges, lessons learned and ways forward for measuring volunteering.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Skills mismatching is a common concern of policy-makers, employers and workers. It is a recurring theme in vocational education and skills development, with many policy initiatives launched to address various forms of the phenomenon. Where evidence-based skills are concerned, policy-making statistics on various forms of skill mismatching are needed. Building on its long experience in delivering training on skills and labour-market analysis, the International Training Centre of the ILO, in full collaboration with the ILO Department of Statistics, offers the second edition of this online course that aims to equip national and international stakeholders with the necessary competencies to measure and analyse skills mismatches and imbalances for evidence-based policy making. The course is designed to enhance capacities to identify, collect, analyse and disseminate labour-market information related to skills imbalances from both the demand and supply sides.
Target Audience: National statistical offices (NSOs); ministries of labour and related institutions (such as labour observatories); governmental institutions engaged in employment, skills development, skills matching and analysis; international organizations and donor agencies engaged in skills matching; skills councils; national TVET authorities; TVET Centres; workers' and employers' organizations; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Description: Given the recent outbreak of the COVID-19 pandemic, many national statistical offices have been facing obstacles to carrying out their work in a normal way. There is a need to reflect on these challenges and try to overcome the problems by finding solutions that enable NSOs to continue doing their work in line with international statistical standards despite the pandemic. With this in mind, the ILO Department of Statistics, in collaboration with the ITCILO, is organizing this course to reflect on the ongoing challenges, present the latest international statistical guidelines for NSOs in dealing with the pandemic, find innovative solutions to overcoming the COVID-19 disruption, and continue doing their work.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Within the framework of the Public Employment Services Capacity Building Programme (PES-CAB), SESRIC, in collaboration with the Turkish Employment Agency (İŞKUR), will organize a training workshop on “Institutional Capacity Building for Effective Labour Market Information Systems” on 01-04 February 2021, in a virtual-only format. The training workshop will gather participants from the public employment agencies/ authorities and relevant national institutions in charge of labour in the OIC member countries to discuss how to establish effective labour market information systems in their respective countries. The Workshop aims to provide participants with a sound understanding of employment statistics, which is the main variable used to monitor and evaluate the demand side of the labor market and reporting processes. It will also give insights into Labour Market Research (LMR) in general and specifically explore how to take the “pulse” and monitor the trend of the labor market. Moreover, the Workshop will serve as a platform for employment services to share their experience on data collection processes, the use of technological and physical infrastructure to support their capacity of statistics production and analysis, and the role of this infrastructure in labor market information systems. The training workshop will be conducted by competent experts from the Turkish Employment Agency (İŞKUR), a national body with the objectives of protecting, improving, generalizing employment and preventing unemployment, and executing unemployment insurance services in Turkey. This training workshop is designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this difficult time of the global crisis due to COVID-19 pandemic.
Description: The 20th ICLS in 2018 endorsed the ILO Guidelines concerning statistics of international labour migration. The guidelines set forth the objectives and scope of the statistics of international labour migration, the main concepts and definitions, the procedures of data collection including the data items and tabulation, the data sources, and the measurement of issues. Paragraph 59 of the Guidelines call on the ILO, in collaboration with interested countries, international and regional organizations, and workers’ and employers’ representatives, “[to] continue methodological work relating to these guidelines, in particular, on appropriate methodologies for capturing and collecting data on the main categories and subcategories of international migrant workers, for‐work international migrants, and return international migrant workers.”
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This course aims to enhance national capacities to produce and collect data on informal employment and categories of informal workers as part of the diagnostic phase of the above intervention model. The course also aims to promote the collection of data on the number of entrepreneurs and economic units in the informal economy, and their characteristics, as an integral part of national labour statistics, following R.204 guidelines on promoting formalization at national level.
Target Audience: The course targets statisticians, labour analysts and policy-makers from ministries of labour and other ministries (including but not limited to social protection, planning, agriculture and finance), and from workers' and employers' organizations.
Description: This course aims to build institutional capacities to design effective systems for comprehensive, timely and high-quality labour market data production and analysis that supports evidence-based policy formulation.
Target Audience: Statisticians and analysts from national statistical offices, ministries of labour and related institutions (such as labour observatories) and other government agencies responsible for labour market data analysis and national SDG reporting; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Description: Using a step-by-step approach, the course aims to equip national and international stakeholders with the necessary capacities to better measure and analyse labour migration and produce timely, high-quality, updated migration statistics based on internationally agreed standards and guidelines for evidence-based policy-making.
Target Audience: Statisticians and analysts from national statistical offices, ministries of labour and related institutions (such as labour observatories) and other government agencies responsible for labour-market data analysis and national SDG reporting; research and academic institutions; international organizations; development agencies; non-government organizations.
Source: World Bank (Data extracted on: 14 Jan 2021 )
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Organizer(s): World Bank
Description: Attempts to limit the spread of COVID-19 have taken a considerable toll on the global economy. Our study provides an overview of the labor market impacts of the pandemic among individuals in Ethiopia, Malawi, Nigeria and Uganda. The analysis is based on the data from the first wave of World Bank-supported phone surveys, conducted during the period of May-June 2020. Our headline findings are as follows: First, the impact on the labor market has been heterogenous across countries and is related to the stringency and compliance with government’s containment policies. In Nigeria 38% reported having stopped working due to COVID-19, while in Malawi this number is 6%. Second in all four countries, urban jobs were lost in higher proportion than in rural areas. Third, the commerce and services sectors were most affected throughout the four countries. Fourth, households have experienced substantial economic shocks following the pandemic. Increases in the price of major food items consumed, closure of nonfarm businesses, increases in the price of farming/business inputs, and decrease in output prices were most widely experienced. Fifth, to cope with the considerable economic shocks, households not only draw down their savings but also reduce food consumption. Sixth, after initial checks, phone surveys appear to provide a valid proxy for understanding labor market and income dynamics in these four countries during the pandemic. Lastly, phone surveys could be used more to quickly learn about the immediate reach of government policies to address the labor market impacts of COVID-19. The webinar will discuss these findings as well as upcoming work to continue monitoring the crisis in Ethiopia, Malawi, Nigeria, and Uganda.
Description: This is a side-event of Nineteenth meeting of the Executive Committee of the Statistical Conference of the Americas of ECLAC. Organized by DANE of Colombia.
Description: This is a side-event of Nineteenth meeting of the Executive Committee of the Statistical Conference of the Americas of ECLAC. Organized by INE of Chile.
Description: Using a step-by-step approach, this course aims to equip national and international stakeholders with the necessary competencies to measure skills mismatches and imbalances from both the demand and supply sides. The course will highlight the latest guidelines developed by the ILO with regard to measuring skills mismatches, while also emphasizing the SDG and the decent work indicators framework.
Target Audience: This course caters for government officials from ministries of labour, economy, and planning; officials of national statistical offices; officials of national, regional and international organizations; members of academic and research institutions; and representatives of workers' and employers' organizations.
Description: This course aims to improve the design and implementation of policies intended to promote job creation by building the capacity of all relevant stakeholders to identify, measure and assess the employment effects of economic, sectoral, trade-related or labour market policies. In particular, the course will impart the competencies needed to make informed decisions about how to best measure and evaluate the results of interventions to promote decent jobs for women and men, with a particular focus on rural populations and informal workers.
Target Audience: This course will be of particular interest to: (1) government officials involved in the design and implementation of policies impacting employment, in particular the staff of ministries of labour and employment, economy, planning, education and training; (2) the staff of programme-management teams from private-sector entities, non-governmental organizations and community-based organizations; (3) the operational staff of international organizations, regional development banks and bilateral donor agencies that design or finance programmes impacting employment.
Description: This course aims to equip national and international stakeholders with the necessary skills to use STATA statistical software for analysing the labour market in evidence-based policy-making, including the SDGs and decent work indicators.
Target Audience: Statisticians and analysts from national statistical offices, ministries of labour and related institutions (such as labour observatories) and other government agencies responsible for labour-market data analysis and national SDG reporting; research and academic institutions; international organizations; development agencies; non-government organizations.
Course Language: English
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The Academy is being offered to meet the current and future needs of countries to strengthen their labour market statistics and analysis systems in the wake of new international statistical standards and groundbreaking developments in the world of statistics.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: SESRIC will organise a Statistics Course on ‘Labour Market Statistics: Harmonization and Analysis of Administrative Data Sources’ on 14-16 October 2019 at the Department of Statistics (DoS) of Malaysia within the framework of OIC Statistical Capacity Building (StatCaB) Programme. Mr Huseyin Tancan Kale, Head of Labour Input Indicators Group of the Turkish Statistical Institute (TurkStat), will conduct the course with the participation of relevant officials of the DoS of Malaysia. The Course will include discussion activities with a focus on the following topics: Labour Market Theories and Statistics; Administrative Data Sources for Labour Market Indicators; Data Acquisition and Validation; Data Management and Cleansing; Data Integration and Calibration; Descriptive Analysis of Labour Market Statistics using Statistical Software (i.e., SPPS or E-views) Production of Labour Input Indices; 8. Production of Labour Cost Indices; and 9. Data Analysis and Dissemination For more information on OIC Statistical Capacity Building (StatCaB) Programme and its activities, please visit: http://www.oicstatcom.org/statcab.php
Source: ESCAP SIAP (Data extracted on: 01 Oct 2019 )
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Organizer(s): ESCAP SIAP ILO
Description: This regional course aims to better equip national and international stakeholders in the new SDGs statistical monitoring system. It is designed to enhance institutional capacity to identify, collect, analyse and disseminate labour market information and other indicators related to decent work. It emphasises the importance of processing Labour Force Surveys (LFS) microdata to produce and disseminate SDGs indicators.
Description: This course aims to equip participants with the skills needed to use STATA to analyse the labour market for evidence-based policy-making, including SDG and decent work indicators.
Description: The main objective of the course is to better equip and orientate national and international stakeholders in the new SDG statistical monitoring system.
Course Language: English
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Regional workshop on the processing of data of the "governance, peace and security" module of the Integrated Regional Survey on Employment and the Informal Sector for West African Economic and Monetary Union (UEMOA) member states as part of the PSR-UEMOA project
Source: Afristat (Data extracted on: 18 May 2020 )
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Title in French: Atelier régional de traitement des données du module « gouvernance, paix et sécurité » de l'ERI-ESI pour les Etats membres de l'UEMOA dans le cadre du projet PSR-UEMOA
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Institutional capacity building for effective labour market information systems
Description: This course aims to build the institutional capacity to design effective systems for comprehensive, timely and high-quality labour market data production and analysis that supports evidence-based policy formulation.
Course Language: English, French
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Labour statistics and reporting on their indicators for better monitoring of the Sustainable Development Goals in the Arab States
