Description: This workshop, presented by the Statistics Department of the IMF, is aimed at country officials from national statistics offices (NSOs) and central banks who are seeking to acquire the knowledge and skills necessary to leverage Big Data and advanced technologies for generating high-frequency and detailed statistics to enhance macroeconomic monitoring and research. IMF experts will deliver lectures and hands-on workshops covering various Big Data applications pertinent to macroeconomic statistics, offering insights from both producer and user standpoints. Furthermore, participants will have the opportunity to present and discuss their use cases, engage in discussions, and benefit from shared insights and experiences. The workshop is conducted by staff of the IMF Big Data Center.
Target Audience: This course is specifically designed for technical staff within national statistics offices (NSOs) and central banks including economists, statisticians, and data scientists working on macroeconomic statistics, nowcasting, and data science projects.
Description: This one-week course, presented by the Statistics Department, prepares participants to compile QNA by providing them with a thorough understanding of the concepts, source data, and compilation techniques used for producing these datasets. The course covers both theoretical and practical compilation issues. It introduces participants to benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data.While the course is broadly based on the IMF Quarterly National Accounts Manual (2017 Edition), it expands on techniques required to dealing with alternative data sources, and mixed frequencies. The course covers both theoretical and practical compilation issues.Participants will learn how to identify and assess available data sources for compiling QNA; use related real-time series databases to assess the quality of QNA; and implement a suitable revisions policy.
Target Audience: Officials worldwide responsible for compiling quarterly national accounts (QNA).
Description: This course, conducted by the Statistics Department, focuses on the conceptual framework of public sector debt statistics as presented in the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDSG 2011), as well as on the practical aspects of public sector debt data compilation. Basic concepts, accounting principles, and detailed classifications are dealt with in the context of the methodology that is harmonized with the Government Finance Statistics Manual 2014 (GFSM 2014) and the System of National Accounts (SNA 2008). The course examines coverage and accounting rules of the public sector debt statistics framework, valuation, classification, selected methodological issues, and the sources and methods used for compiling the statistics. It also deals with debt data reporting to the IMF and World Bank. The course is organized around a series of case studies.
Target Audience: Public sector officials whose main responsibility is compiling and disseminating public sector debt statistics.
Description: This course, presented by the Statistics Department, covers both the conceptual and practical aspects of compiling monetary statistics focusing on other financial corporations (OFCs) as set out in the 2016 Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). The main aim of this course is to foster a deeper understanding of the OFCs (insurance corporations, pension funds, non-MMF investment funds, etc.), their typical balance sheet structures and how their financial data can be leveraged for compiling the broadest set of monetary statistics to understand liquidity and financing extended to the nonfinancial sectors and nonresidents by the financial corporations. The course also covers some aspects of financial statistics, of which the role of MFS in the balance sheet approach (BSA) for analyzing macro-financial vulnerabilities and how MFS fits into the IMF’s financial programming. The course integrates discussions on cutting-edge issues like Fintech, digital money and climate finance all related to MFS. Through a combination of lectures, countries’ presentations and case studies, the course familiarizes participants with practical aspects of compiling other financial corporations sector and the financial corporations survey. Emphasis is also placed on peer learning through sharing of country experiences among the participants.
Target Audience: Central bank officials and officials from regulatory agencies responsible for compiling monetary statistics.
Description: This course, presented by the Statistics Department, deals with identification and assessment of elementary indicators and techniques for combining them into a single index of economic activity to track national trends. Flash estimates or indexes of economic activity bring together a range of elementary indicators to give timely general measures of economic activity. These measures give policy makers useful information that complements annual and quarterly GDP estimates, which are more comprehensive but usually only available after substantial lags, and provide a more comprehensive picture than individual monthly and quarterly indicators, which are up-to-the-minute but reflect just a portion of the total economy).This course is for actual or potential compilers of short-term indicators in central banks and statistical offices and for those who collect data for monthly indicators. Participants are expected to work with their own monthly and quarterly time series during the course. These indicators will be used in the practical session as the basis for experimental estimates.
Target Audience: Officials responsible for compiling short-term or monthly economic indicators in central banks and statistical offices.
Description: This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using FSIs in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide). The course takes an interactive approach using hands-on exercises in discussing the main topics as follows: Preparation of the sectoral financial statements and compilation of FSIs for deposit takers; Regulatory framework for deposit takers; Accounting principles and data consolidation for the compilation of FSIs for deposit takers; and Overview of key points and changes in the 2019 FSI Guide. Asynchronous Component — July 1–15, 2024 This component will comprise five modules and will focus on the conceptual issues that will be performed by the participants after each synchronous part. The asynchronous component will be supplemented with assigned readings and references. These modules will be made available to the participants at least five days before the start of the synchronous classes.Participants will be required to take a pre-course quiz. Successful completion (i.e., a passing grade) will not be a pre-requisite for participating in the synchronous component. The results of the quiz will be only used by the instructors to determine the knowledge of the participants. Synchronous Component — August 5–9, 2024 The synchronous component will focus on the practical compilation of issues and topics that may require greater instructor input and feedback. It will comprise lectures, question and answer sessions and practical workshop exercises. The lectures will be developed using existing lecture presentations and the scripts that were prepared for the online course. The lectures will be presented in 30 minutes to 45-minute slots. Each presentation will be followed by a brief exercise or question-answer session. Participants will be invited to present case studies of practical problems or proposed solutions to practical problems. These issues could be related to source data or compilation. Participants will also be invited to respond to some practice questions in discussion forums. This will be followed by a workshop where the responses to these questions will be discussed, along with the correct answers.
Target Audience: Officials at central banks and supervisory agencies for the financial sector who are involved in the collection, compilation, and analysis of financial soundness indicators (FSIs).
Description: This three-day course, conducted by the Statistics Department familiarizes participants with key climate change related indicators that can be developed to better inform economic and financial policies. The statistics covered include Environmental revenues and expenditures, Natural Resource Accounts, Physical and Transition risk indicators, Air Emission Accounts and indicators of Sustainable Finance. The course consists of a series of lectures giving overview of methods for compiling climate change-related indicators, and insights into the analytical uses of the climate change-related indicators.
Target Audience: Officials from National Statistics Agencies, Ministries of Finance, Planning and Environment, Central Banks, and other agencies, who are responsible for compiling and/or using environment or climate change related indicators.
Description: This course, presented by the Statistics Department, focuses on the conceptual framework of government finance statistics (GFS) as presented in the¿Government Finance Statistics Manual 2014¿(GFSM 2014), with an emphasis on new concepts introduced in¿GFSM 2014. The course requires that participants are familiar with the basic GFS framework and classification system. Emphasizing the integrated GFS framework, the course addresses complex cross-cutting GFS issues, such as social protection, government employee pension liabilities, standardized guarantee schemes, contracts, leases, licenses, public-private partnerships, and public sector balance sheets. It also examines coverage of the public sector, giving special attention to borderline and complex cases. The course discusses internal and intersectoral data consistency, coordination between data-producing agencies, as well as data presentation and communication with users. The format is lectures and discussions.
Target Audience: Officials whose main responsibility, for at least three years, has been compiling and disseminating GFS and who are regularly faced with complex GFS methodological and compilation issues, such as those described below.¿¿
Description: This course, presented by Statistics Department, is based on the conceptual framework of the 2008 System of National Accounts (2008 SNA). It covers advanced methodological and practical issues related to the compilation of the sequence of accounts of the SNA (current and capital accounts, financial accounts, other changes in volume of assets accounts, revaluation accounts, and balance sheets) by institutional sectors. The course also examines the linkages between institutional sectors as a basis for establishing from-whom-to-whom accounts. The aim of the course is to provide participants with the necessary skills to compile—or further enhance—their country’s institutional sector accounts and the balance sheets. The course consists of lectures covering conceptual and methodological issues, workshops sessions on practical compilation issues, discussions on emerging financial issues such as fintech and crypto assets. It reviews case studies involving new applications of ISA such as household distributions to examine income, consumption and wealth accumulation by various cohorts and intergenerational transfers and pensions. The myriad ways in which the ISA supports economic policy is also examined. The lectures provide a thorough review of the methodological framework, concepts, and definitions relating to sectoral institutional sector accounts and balance sheets, examine potential data sources for the compilation of annual and quarterly ISA, and illustrate possible compilation techniques and procedures. The course also provides a forum for participants to share country practices and experiences relating to the compilation of sectoral institutional accounts and balance sheets.
Target Audience: Officials whose main responsibility is compiling national accounts, including financial accounts statistics and balance of payments statistics (specifically responsible for the sectoral accounts, household distribution accounts and accounts on a from-whom-to-whom basis), who are employed by national statistical agencies and central banks.
Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually. Up-to-date Covid-19 vaccination is likely to be required and related information may be requested from participants for in-person courses. " This course, presented by the Statistics Department, is intended to broaden participants’ understanding of the concepts, methods, and challenges of compiling CPIs. Concepts and methods introduced in the online CPIx are explored in greater detail to address actual compilation issues faced by participants. It provides an overview of the index number theory and the practical implications of choosing the index number formula at lower and higher levels of aggregation. The course covers the sources and methods for developing/validating weights; and practical applications of the methods used for sampling areas, items, outlets, and varieties. New and emerging data sources as well as new collection technologies are discussed. Frontier issues including how to better measure the digital economy are included. Linkages to the 2008 SNA are highlighted, including the related principles of scope, coverage, and valuation. The course covers the following topics: calculating elementary and upper-level indexes; methods for handling temporarily and permanently missing prices; introducing new outlets, items, and varieties; adjusting prices for quality changes; chaining and linking indexes with updated weighting structures; and meeting data users’ needs to ensure relevancy. The course follows the principles and recommendations of the CPI Manual (2020).
Source: Eurostat (Data extracted on: 01 Nov 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will provide participants with information on theory (methodological framework) and practical challenges in the context of the compilation of Physical Environmental Accounts (Eurostat questionnaires).
Target Audience: * Statisticians involved in compiling data on economy-wide material flow accounts (EW-MFA), air emission accounts (AEA) or physical energy flow accounts (PEFA) under Regulation (EU) 691/2011. * Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above. * Managers with responsibility on several or all the areas listed above.
Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually. Up-to-date Covid-19 vaccination is likely to be required and related information may be requested from participants for in-person courses. " This course, presented by the Statistics Department, identifies the key uses of RPPIs; reviews data sources and methods for compiling RPPIs; and outlines strategic issues for country-specific application. Emphasis is given to the importance of evaluating alternative data sources for compiling RPPIs in terms of coverage, timeliness, richness in terms of supporting a quality-mix methodology, suitability of a price measure, and weighting. Trade-offs involved in selecting data sources are considered, as are strategies for longer-run development of data sources. The methodological component of the course emphasizes the quality-mix problem: a change in the mix of properties transacted each period can bias measures of change in average prices. Mix-adjustment by stratification and hedonic regression are the main methods used to deal with this issue and interactive workshops deal with these topics. The course also highlights how data source and methodological issues are intertwined and follows the principles of the 2013 Handbook on RPPIs published by Eurostat, International Labor Organization (ILO), IMF, Organization for Economic Co-operation and Development (OECD), United Nations Economic Commission for Europe (UNECE), and the World Bank. Practical advice on RPPI compilation will draw on the 2020 RPPI Practical Compilation Guide published by the IMF.
Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually. Up-to-date Covid-19 vaccination is likely to be required and related information may be requested from participants for in-person courses. " This course, presented by the IMF Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide). It also offers practical compilation guidance on data sources and techniques for compiling EDS, as well as on analysis of these data, taking into account the relevant developments in the global financial market. It comprises a series of lectures, practical exercises, and case studies that cover: recent developments in the global financial market (e.g., process of disintermediation, moving away from traditional cross-border investment vehicles, etc.) and their effect on EDS compilation; implementation of the 2013 EDS Guide and ensuring consistency and comparability among external debt statistics and other macroeconomic statistics, namely balance of payments, IIP, government finance statistics, and national accounts; data dissemination and requirements of the World Bank's Quarterly External Debt Statistics (QEDS) database
Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually. Up-to-date Covid-19 vaccination is likely to be required and related information may be requested from participants for in-person courses. " This course, presented by the Statistics Department, covers theoretical and practical aspects in the compilation of national accounts statistics based on the conceptual framework of the System of National Accounts 2008 (2008 SNA). The course consists of lectures covering advanced methodological and compilation issues of the 2008 SNA and workshops consisting of practical exercises in compiling the accounts. The main aim of the course is to train participants in developing and using more advanced compilation techniques in areas including supply and use tables (SUTs), input-output tables, price and volume measures, and thematic satellite accounts. The course starts with SNA framework and will discuss how these accounts can be extended to address specific user needs. The main lectures and workshops include: Conceptual framework of the SNA; Output of specific industries; SUTs and input-outputs tables; Price and volume measurement; Estimating consumption of fixed capital; and Thematic satellite accounts, with a focus on topics covered in the update of the 2008 SNA (e.g., informal economy, labor accounts).Emphasis is also placed on sharing country experiences among the participants.
Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually. Up-to-date Covid-19 vaccination is likely to be required and related information may be requested from participants for in-person courses. " This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using FSIs in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide). The course takes an interactive approach using hands-on exercises in discussing the main topics as follows: Preparation of the sectoral financial statements and compilation of FSIs for deposit takers; Regulatory framework for deposit takers; Accounting principles and data consolidation for the compilation of FSIs for deposit takers; and Overview of key points and changes in the 2019 FSI Guide.
Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually. Up-to-date Covid-19 vaccination is likely to be required and related information may be requested from participants for in-person courses. " This course, presented by the Statistics Department, familiarizes participants with the methodology recommended by the Handbook on Securities Statistics, a joint undertaking of the IMF, the Bank for International Settlements, and the European Central Bank, published in May 2015. The course covers definition and features of securities, securitization, and related operation; valuation and recording of securities; classification schemes and presentation tables for securities; and security-by-security databases. A practical exercise on valuation and recording of different types of debt securities complements the lectures.
Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually. Up-to-date Covid-19 vaccination is likely to be required and related information may be requested from participants for in-person courses. " This course, presented by the Statistics Department, covers theoretical and practical issues related to the compilation of ISA (current and capital accounts, financial accounts, other changes in volume of assets accounts, and revaluation accounts) and balance sheets according to institutional sectors. The course is based on the conceptual framework of the System of National Accounts, 2008 (2008 SNA). The aim of the course is to provide participants with the necessary skills to compile the ISA and the balance sheets. The course consists of lectures covering conceptual and methodological issues as well as exercises that require the application of these concepts and that highlight practical compilation issues. The lectures provide a thorough review of the methodological framework, concepts, and definitions relating to ISA and balance sheets, including accounting rules, valuation, institutional units and sectors, and residency. The course will also outline potential data sources for their compilation and illustrate recommended compilation techniques and procedures.
Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually." This course, conducted by the Statistics Department, focuses on the conceptual framework of public sector debt statistics as presented in the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDSG 2011) , as well as on the practical aspects of public sector debt data compilation. Basic concepts, accounting principles, and detailed classifications are dealt with in the context of the methodology that is harmonized with the Government Finance Statistics Manual 2014 (GFSM 2014) and the System of National Accounts (SNA 2008) . The course examines coverage and accounting rules of the public sector debt statistics framework, valuation, classification, selected methodological issues, and the sources and methods used for compiling the statistics. It also deals with debt data reporting to the IMF and World Bank. The course is organized around a series of case studies.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will provide participants with information on theory (methodological framework) and practical challenges in the context of the compilation of Physical Environmental Accounts (Eurostat questionnaires).
Target Audience: * Statisticians involved in compiling data on economy-wide material flow accounts (EW-MFA), air emission accounts (AEA) or physical energy flow accounts (PEFA) under Regulation (EU) 691/2011. * Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above. * Managers with responsibility on several or all the areas listed above,
Description: 8th International Conference Use of R in Official Statistics Side events include the unconfUROS hackathon and an R crash course. The call for abstracts for presentations and tutorials is published on the conference's website www.urosconf.org.
Description: This course, presented by the Statistics Department, covers theoretical and practical issues related to the compilation of accumulation accounts (capital accounts, financial accounts, other changes in volume of assets accounts, and revaluation accounts) and balance sheets according to institutional sectors. The course is based on the conceptual framework of the System of National Accounts, 2008 (2008 SNA). The aim of the course is to provide participants with the necessary skills to compile the sectoral accumulation accounts and the balance sheets. The course consists of lectures covering conceptual and methodological issues as well as workshops sessions on practical compilation issues. The lectures provide a thorough review of the methodological framework, concepts, and definitions relating to sectoral accumulation accounts and balance sheets, examine potential data sources for their compilation, and illustrate possible compilation techniques and procedures. The course also provides a forum for participants to share country practices and experiences relating to the compilation of sectoral accumulation accounts and balance sheets.
Target Audience: Officials whose main responsibility is compiling national accounts and financial accounts statistics (specifically sectoral accounts and accounts on a from-whom-to-whom basis), who are employed with national statistical agencies and central banks.
Description: This course, presented by the Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS Guide for Compilers and Users (EDS Guide). It also offers practical compilation guidance on data sources and techniques for compiling EDS, as well as on analysis of these data, taking into account the relevant developments in the global financial market. It comprises a series of lectures, practical exercises, and case studies that cover: recent developments in the global financial market (e.g., process of disintermediation, moving away from traditional cross-border investment vehicles, etc.) and their effect on EDS compilation; implementation of the 2013 EDS Guide and ensuring consistency and comparability among external debt statistics and other macroeconomic statistics, namely balance of payments, IIP, government finance statistics, and national accounts; debt management systems and practical guidance on the compilation of EDS for the public and private sectors; data validation and assessment of the quality of EDS applying the IMFs Data Quality Assessment Framework for EDS; data dissemination and requirements of the World Bank Quarterly External Debt Statistics (QEDS) database; debt sustainability analysis, analytical tools.
Target Audience: Officials whose main responsibility is the compilation of external debt and/or international investment position (IIP) statistics.
