Publications & Documents

What factors influence satisfaction with social protection? This report investigates differences in perceptions of social protection across countries, with a focus on France, using novel data from the OECD’s Risks that Matter Survey. Compared to respondents in Germany and the United Kingdom, French respondents are systematically the least satisfied with social protection in their country, even as France performs well on many social programme outcome indicators. This report explores a range of different factors influencing perceptions of social protection, including individual risk perceptions; the shape, size and cost of social programmes; frictions in application and service delivery in social programmes; and socio-economic and cultural factors.

The OECD review of Gender Equality in Costa Rica: Towards a Better Sharing of Paid and Unpaid Work is the fourth in a collection of reports focusing on Latin American and the Caribbean countries, and part of the series Gender Equality at Work. The report compares gender gaps in labour and educational outcomes in Costa Rica with other countries. Particular attention is put on the uneven distribution of unpaid work, and the extra burden placed on women. It investigates how policies and programmes in Costa Rica can make this distribution more equitable. The first part of the report reviews the evidence on gender gaps and their causes, including the role played by social norms. The second part develops a comprehensive framework to address these challenges, presenting a broad range of options to reduce the unpaid work burden falling on women, and to increase women’s labour income. Earlier reviews in the same collection have looked at gender equality policies in Chile (2021), Peru (2022) and Colombia (2023).

Ensuring equality for LGBTI+ individuals is a human rights imperative, but it also makes a lot of economic sense. Inclusion enables LGBTI+ individuals to achieve their full employment and labour productivity potential, benefitting not only their economic and social well-being, but also society as a whole. Yet, robust evidence supporting the economic case for greater LGBTI+ equality is still scarce due to challenges in accurately measuring the size and life situation of the LGBTI+ population. This report bridges this gap by using a unique set of microdata from the United States. The report begins with an overview of the share of US adults identifying as LGBTI+, their geographic distribution and key demographics. It then evaluates the extent to which LGBTI+ Americans face discrimination, assessing how this population fares, including in the labour market. Finally, utilising the OECD long-term model, the report quantifies the potential increase in GDP resulting from closing the unexplained LGBTI+ gaps in employment and labour productivity. The findings highlight significant economic gains, although they capture only a portion of the potential benefits. Notably, the broader societal impacts, such as the advancement of women's empowerment through the disruption of heteronormative standards, are not quantified.

This paper applies Machine learning techniques to Google Trends data to provide real-time estimates of national average subjective well-being among 38 OECD countries since 2010. We make extensive usage of large custom micro databases to enhance the training of models on carefully pre-processed Google Trends data. We find that the best one-year-ahead prediction is obtained from a meta-learner that combines the predictions drawn from an Elastic Net with and without interactions, from a Gradient-Boosted Tree and from a Multi-layer Perceptron. As a result, across 38 countries over the 2010-2020 period, the out-of-sample prediction of average subjective well-being reaches an R2 of 0.830.

Recent AI technological advances, particularly the rise of generative AI, have raised many data governance and privacy questions. However, AI and privacy policy communities often address these issues independently, with approaches that vary between jurisdictions and legal systems. These silos can generate misunderstandings, add complexities in regulatory compliance and enforcement, and prevent capitalising on commonalities between national frameworks. This report focuses on the privacy risks and opportunities stemming from recent AI developments. It maps the principles set in the OECD Privacy Guidelines to the OECD AI Principles, takes stock of national and regional initiatives, and suggests potential areas for collaboration. The report supports the implementation of the OECD Privacy Guidelines alongside the OECD AI Principles. By advocating for international co-operation, the report aims to guide the development of AI systems that respect and support privacy.

This paper examines the impact of the COVID-19 crisis on women's economic empowerment in the Middle East and North Africa (MENA), in the context of elevated gender-based discrimination in social institutions – formal and informal laws, social norms, and practices. The analysis focuses on Egypt, Jordan, Morocco and Tunisia. Using 2023 data from the fifth edition of the Social Institutions and Gender Index (SIGI), the paper analyses how discriminatory laws and social norms hamper women's economic empowerment. The paper also explores how the COVID-19 pandemic has exacerbated this discrimination. Finally, it provides policy recommendations to tackle discriminatory social institutions and address the specific needs of women and girls, both in the face of public health crises and beyond, aiming to foster more inclusive and resilient societies in the MENA region.

While means-tested benefits such as minimum income benefits (MIB) and unemployment assistance (UA) are an essential safety net for low-income people and the unemployed, incomplete take-up is the rule rather than the exception. Building on desk research, open-ended surveys and semi-structured interviews, this paper investigates the opportunities and risks of using artificial intelligence (AI) for managing these means-tested benefits. This ranges from providing information to individuals, through determining eligibility based on pre-determined statutory criteria and identifying undue payments, to notifying individuals about their eligibility status. One of the key opportunities of using AI for these purposes is that this may improve the timeliness and take-up of MIB and UA. However, it may also lead to systematically biased eligibility assessments or increase inequalities, amongst others. Finally, the paper explores potential policy directions to help countries seize AI’s opportunities while addressing its risks, when using it for MIB or UA management.

The frequency and severity of extreme wildfires are on the rise in Greece, 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 Greece's 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.