Publications & Documents

This publication provides comprehensive data on the volume, origin and types of aid and other resource flows to around 140 developing countries.  The data show each country's receipts of official development assistance as well as other official and private funds from members of the Development Assistance Committee of the OECD, multilateral agencies and other key providers. Key development indicators are given for reference.    Cette publication fournit des données détaillées sur le volume, la provenance and les types d'aide et d'autres apports de ressources attribués à chacun d'environ 140 pays en voie de développement. Les données statistiques couvrent les apports d'aide publique au développement et les autres financements publics et privés fournis à chaque pays bénéficiaire par chacun des membres du Comité d'aide au développement de l'OCDE, par les organismes multilatéraux ainsi que par d'autres fournisseurs.  Des indicateurs socio-économiques de base sont présentés pour information.

Thanks to the large investment of official data producers in OECD countries, measures of subjective well-being have become increasingly robust and meaningful from a policy perspective. In the ten years since the OECD published its Guidelines on Measuring Subjective Well-being, the inclusion of subjective well-being indicators in national measurement frameworks and household surveys has grown. Country practice has converged around a standard measure of life satisfaction, however affective and eudaimonic measures of subjective well-being remain less harmonised. This policy insights, along with its accompanying working paper, identify priority areas for future OECD work by marrying the practical concerns of data collectors with good practice as identified by the academic literature.

In many countries, public expenditure, including transfers, plays a major role in reducing income inequality. The report reviews the various ways that budgeting can be used to this end. A first includes taking a broad approach to results-based budgeting, taking social and distributional goals into consideration. A second relies on integrating distributional impact analysis directly into the budget process. The report discusses the concrete experience of eight OECD countries in this area, analysing how they are integrating distributional impact assessment in spending and budgeting decisions. Finally, it discusses the tools, frameworks and data that are needed to take distributional considerations into account as part of evidence-informed policy making.

This Policy Insights draws on data collected as part of the Opportunities module in the 2022 OECD Risk that Matters survey and explores public preferences for policies and measures aimed at reducing inequality and enhancing opportunities for all. The analysis reveals that, despite shared concern over inequalities and limited opportunities, opinions on solutions differ. Across the OECD countries surveyed, there is strong support for policies aimed at fostering equal opportunities and limiting market disparities. On the contrary, redistributive measures receive a milder level of support. A large majority of respondents also believe that the private sector can play a significant role by paying fair wages, addressing wage inequalities, creating jobs in the country and by investing in their workforce. This is the last Policy Insights of a three-part series on Measuring Opportunities: The Role of Public Perceptions.

This publication presents guidance for the compilation of distributional results on household income, consumption and saving consistent with national accounts totals. These results are a key input for evidence-based policies targeting inequality and fostering inclusive growth, providing insights into key dimensions of material well-being across household groups. The results complement existing inequality measures by including elements that are often lacking from micro statistics and by providing inequality measures consistent with macroeconomic aggregates, broadening the scope for analyses, while also capturing households and transactions that are typically underrepresented in micro data. Moreover, while the estimates do require a number of statistical choices and assumptions, they have a high degree of international comparability because of the common methodology and their alignment to national accounts results. The handbook provides an overview of the conceptual framework underlying the distributional results and discusses various aspects in relation to the compilation and presentation of the distributional results. It aims to assist compilers in deriving high-quality distributional results and to provide users with more insights into the main benefits of these results as well as into the way that the results have been derived.

Parental emotional support, alongside material and temporal support, is an important determinant of children's subjective well-being and academic success. However, not all children benefit from the same level of parental support, and there are major differences depending on families' socio-economic status and child gender. Using the PISA 2018 surveys, this paper examines differences in parental support reported by 15-year-olds both within countries according to social status and between girls and boys, and between countries. We show that differences in parental emotional support by parents' education level and child gender are substantial. Some of these differences are (largely) explained by other characteristics such as family wealth, country of origin, and school urbanicity and private/public status. Greater parental emotional support is also found to be associated with higher PISA test scores and greater subjective wellbeing, with little variation by parental education. On the whole, our findings suggest that a significant enhancement in parental support and related child outcomes, especially in countries with lower average levels of parental emotional support, can be attained through a combined effort on several fronts: by addressing monetary and material poverty within families, by facilitating parents in balancing work and taking care of their children, by promoting greater parental involvement in their children's school life, and by offering appropriate services to assist families with special needs and facing greater challenges.

Early childhood education and care (ECEC) staff are central to promoting young children’s development, learning and well-being. Novice staff, defined as staff with up to three years of experience, account for 27% of staff in TALIS Starting Strong 2018. Novice staff are generally less educated than experienced staff in terms of the level of educational attainment and education or training with a focus specifically on working with children. More novice staff than experienced staff report a strong need for additional professional development in several areas, including 'classroom/playgroup/group management' and 'working with parents or families'. Policy approaches to support novice staff in ECEC can include ensuring that initial education prepares novice staff for their jobs by providing relevant knowledge specifically on working with children, supporting novice staff to engage in ongoing professional development, and clarifying how novice staff can progress professionally.

The frequency and severity of extreme wildfires are on the rise in the United States, causing unprecedented disruption and increasingly challenging the country’s capacity to contain losses and damages. These challenges are set to keep growing in the context of climate change, highlighting the need to scale up wildfire prevention and climate change adaptation. This paper provides an overview of the United States’ wildfire policies and practices and assesses the extent to which wildfire management in the country is evolving to adapt to growing wildfire risk under climate change.

Artificial intelligence will have profound impacts across health systems, transforming health care, public health, and research. Responsible AI can accelerate efforts toward health systems being more resilient, sustainable, equitable, and person-centred. This paper provides an overview of the background and current state of artificial intelligence in health, perspectives on opportunities, risks, and barriers to success. The paper proposes several areas to be explored for policy makers to advance the future of responsible AI in health that is adaptable to change, respects individuals, champions equity, and achieves better health outcomes for all. The areas to be explored relate to trust, capacity building, evaluation, and collaboration. This recognises that the primary forces that are needed to unlock the value from artificial intelligence are people-based and not technical. The OECD is ready to support efforts for co-operative learning and collective action to advance the use of responsible AI in health.