Publications & documents

This paper estimates the data intensity of occupations/sectors (i.e. the share of job postings per occupation/sector related to the production of data) using natural language processing (NLP) on job advertisements in the United Kingdom, Canada and the United States. Online job advertisement data collected by Lightcast provide timely and disaggregated insights into labour demand and skill requirements of different professions. The paper makes three major contributions. First, indicators created from the Lightcast data add to the understanding of digital skills in the labour market. Second, the results may advance the measurement of data assets in national account statistics. Third, the NLP methodology can handle up to 66 languages and can be adapted to measure concepts beyond digital skills. Results provide a ranking of data intensity across occupations, with data analytics activities contributing most to aggregate data intensity shares in all three countries. At the sectoral level, the emerging picture is more heterogeneous across countries. Differences in labour demand primarily explain those variations, with low data-intensive professions contributing most to aggregate data intensity in the United Kingdom. Estimates of investment in data, using a sum of costs approach and sectoral intensity shares, point to lower levels in the United Kingdom and Canada than in the United States.

The shipping industry is essential for international trade, but it is also an important source of CO2 emissions. To make progress towards climate targets, countries need to monitor CO2 emissions from vessels owned by their ship operator companies. However, most shipping activity takes place outside national borders, making it more difficult to monitor than activity taking place within countries. The OECD’s experimental database on OECD.stat provides a new source of data for CO2 emissions from global shipping, which is available monthly in near real time. This data will help national statistics producers to compile their Air Emission Accounts (AEAs) for the System of Environmental Economic Accounting (SEEA). This Working Paper presents some initial results from the new data source and describes how they were produced. The method is based on granular and timely ship-level data provided by the United Nations Global Platform, and it uses a bottom-up estimation approach to produce results broken down by country and type of ship.

Trade in value added (TiVA) indicators are increasingly used to monitor countries’ integration into global supply chains. However, they are published with a significant lag - often two or three years - which reduces their relevance for monitoring recent economic developments. This paper aims to provide more timely insights into the international fragmentation of production by exploring new ways of nowcasting five TiVA indicators for the years 2021 and 2022 covering a panel of 41 economies at the economy-wide level and for 24 industry sectors. The analysis relies on a range of models, including Gradient boosted trees (GBM), and other machine-learning techniques, in a panel setting, uses a wide range of explanatory variables capturing domestic business cycles and global economic developments and corrects for publication lags to produce nowcasts in quasi-real time conditions. Resulting nowcasting algorithms significantly improve compared to the benchmark model and exhibit relatively low prediction errors at a one- and two-year horizon, although model performance varies across countries and sectors.

The Handbook on Measuring Digital Trade sets out a conceptual and measurement framework for digital trade which aligns with the broader standards for macro-economic statistics. It aims to help statistical compilers to address policymakers’ needs for statistical evidence on digital trade. It includes extensive compilation guidance, drawing upon substantive inputs and case studies from both developed and developing economies and covering a variety of survey and non-survey sources. A reporting template is also proposed to support compilers in the production and dissemination of digital trade statistics.

The System of Environmental Economic Accounting Central Framework (SEEA CF) was adopted in 2012. In one decade, it has expanded to 92 countries, including most OECD countries. However, there is still work to be done by national statistics producers to increase the use of SEEA statistics. This paper focuses on the SEEA stocks and flows accounts, providing examples of where they are already used to support public policy making in high-priority areas such as climate change, environmental sustainability, the circular economy, and management of ecosystems and freshwater, as well as feeding into indicators, dashboards and other frameworks. Although these examples show that SEEA statistics are already informing public policy making in many countries, there are still important 'influence gaps'. The second part of this paper discusses why these gaps exist and what can be done about them.

La moitié du temps imparti pour atteindre les objectifs de développement durable se sera bientôt écoulée, et les plus pauvres et les plus vulnérables risquent de se retrouver laissés pour compte en raison d’un manque cruel de données. Le Rapport de PARIS21 sur le soutien des partenaires à la statistique 2022 attire l’attention sur l’insuffisance du financement des données et de la statistique, une insuffisance qui s’est aggravée en 2020 en partie seulement à cause de la pandémie de COVID-19. Dans un contexte mondial de détérioration de la situation en matière de développement et d’augmentation du nombre de menaces complexes, les dirigeants doivent réaffirmer leur engagement à faire des données et de la statistique des éléments centraux de politiques efficaces. Rapport phare de PARIS21, le Rapport sur le soutien des partenaires à la statistique est l’analyse annuelle la plus complète du financement des données et de la statistique par les bailleurs de fonds. Révélant pour la première fois les répercussions de la crise de la COVID-19 sur le soutien à la statistique, cette édition 2022 plaide en faveur d’un regain d’intérêt pour les données et la statistique afin que le monde puisse surmonter les crises à venir.