Description: This course, presented by the Institute for Capacity Development, gives government officials a rigorous foundation in the estimation of macro-econometric models and their application for nowcasting, forecasting, and policy analysis in central banks, ministries, and public research institutions. The course examines univariate and multivariate econometric time series models, state-space models, and nowcasting techniques as Factor, BRIDGE, and MIDAS models. Each topic includes a lecture that discusses the underlying theory and a workshop with applications using EViews. Participants work in groups on hands-on estimation and forecasting exercises.
Description: The in-person Conference of donors supporting CRVS improvements in Asia and the Pacific to be held on 27 June 2025 is scheduled in the programme of The Third Ministerial Conference on CRVS. The Donor conference aims to increase awareness about CRVS amongst potential donors and supporters. Participants will also be provided with the opportunity to network with other donors that are active in similar fields or are working on similar projects.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Organizer(s): ESCAP Bloomberg Philanthropies CSC United States Child Rights Coalition Asia Global Health Advocacy Incubator IOM SPC Plan International Statistics Norway UNDP UNFPA UNHCR UNICEF Vital Strategies WHO World Bank World Vision
Description: The Third Ministerial Conference on Civil Registration and Vital Statistics in Asia and the Pacific will be held from 24 to 26 June 2025, at the United Nations Conference Centre (UNCC), Bangkok, Thailand.
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 for the face-to-face training 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.
Source: ESCAP SIAP (Data extracted on: 05 May 2025 )
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Organizer(s): UNSD ESCAP SIAP
Description: The United Nations Statistics Division (UNSD) and the United Nations Statistical Institute for Asia and the Pacific (UNSIAP)with the support of the Office of the Director-General for Policy Planning on Statistical Policythe Ministry of Internal Affairs and Communications of the Government of Japan are organizing a Regional Training Workshop on SEEA Asset Accounts for Sustainable Development. The workshop will be held in ChibaJapan from 16-19 June. The workshop will be conducted in English.The regional workshop is an opportunity for participants to increase their technical knowledge of the System of Environmental-Economic Accounting (SEEA) through lecturesexercisesand sharing country examples. Participants will learn about the SEEA framework and in particular the conceptual and compilation aspects for the SEEA asset accounts in physical and monetary terms. They will also learn about the relevance of the SEEA for evidence-based decision making and in monitoring national policies and international agreements including the Sustainable Development Goals. Institutional mechanismsdata governancedata sources and dissemination approaches will also be introduced. Furthermoreparticipants will have an opportunity to learn about the update process of the SEEA Central Framework. For additional information on the workshopplease see the concept note and provisional agenda attached.
Description: The 4th International Forum on Migration Statistics (IFMS 2025) is organized by the Organization for Economic Cooperation and Development (OECD), the United Nations Department of Economic and Social Affairs (DESA) Statistics and Population Divisions, and the International Organization for Migration (IOM).
International migration is a policy priority for many countries, yet despite recent progress in data collection, analysis, and dissemination, the supply of migration statistics has not kept pace with demand. Basic data on migrant stocks and flows, the social and economic characteristics of migrants, and the drivers and impacts of migration remain scarce in many nations. Additionally, differing methodologies across countries significantly hinder international comparability and the generation of regional and global insights.
Description: This course, presented by the Statistics Department, targets compilers with a certain degree of experience in the compilation and/or analysis of balance of payments and/or IIP. It aims to provide a deep understanding of the concepts, data sources and compilation techniques for balance of payments and IIP statistics and their application in addressing complex methodological issues. The course does not cover the basic balance of payments and IIP concepts. The intermediate level of the course presupposes participants' familiarity with the basic concepts. The course will also elaborate on the topics being addressed during the current update of BPM6. The course consists of a series of lectures and workshops analyzing country cases with a strong data component and is designed to allow peer learning and sharing of experiences. Recognizing the challenges in compiling data in emerging areas of user interest, the course emphasizes specific topics, such as estimating informal cross-border activities and the treatment of special purpose entities. The course examines themes and challenges emerging from developments in the global economy, and participants have the opportunity to discuss how these impact compilation work. Specific exercises are geared to integrate data compilation with Fund surveillance and policy advice; and to demonstrate the analytical uses of ESS.
Target Audience: Officials responsible for the compilation of external sector statistics (ESS) (balance of payments and/or international investment position (IIP) statistics), and who are familiar with the methodology of the
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, 20th, and 21st ICLS resolutions on labour 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 blended training STATA for labour market analysis. The course will include two phases, an online phase between 9 June and 4 July to provide a basic understanding of STATA for LM analysis, and then a face-to-face phase which will take place in Turin between 7-11 July, 2025. This course qualifies for the Labour 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.
Description: Massive digitization drive across public and private sectors has led organizations and their people to possess vast amounts of data, both qualitative and quantitative, often complex, unstructured, and varied. This huge data proliferation has also been accompanied with advances and rapid developments in data analytics by a corresponding surge in the creation of powerful tools. The exponential growth in both data and analytical capabilities, including artificial intelligence, is creating opportunities and challenges for managing knowledge. By integrating data analytics and knowledge management individuals and organizations can gain and share powerful insights, test strategies, improve transparency, increase value and improve the impact. If you have witnessed a knowledge gap in your organization and want to learn about developing strategies on leveraging data to bridge this gap this is the course for you. Alternatively, if you seek to build a culture in your organization that capitalizes on data-driven knowledge to develop impactful policies, programmes and projects and streamline work processes, this certification programme will guide you in doing so. Or, if you are interested in learning how data analytics can improve your own performance and, if you are curious about the latest trends and the future foresights towards data analytics and knowledge management, this course is the right place to be! Welcome to the certification course on "Data Analytics and Knowledge Management for Development".
Target Audience: Programme and project managers, knowledge management officers, monitoring and evaluation officers, technical specialists, project professionals, professionals from private enterprises, academicians and researchers involved in the identification, design, implementation and evaluation of development policies, programmes and projects.
Description: This is a comprehensive training course that covers application of statistics in Record Management. The course aims at equipping participants with skills and knowledge in data collection, data entry, management, analysis, interpretation and reporting.
Target Audience: This short course is so important for administrative officers, assistant record management officers, record management officers and implementers at all levels of record management.
