Publications & Documents

Spain has a high share of the working age population at risk of poverty or social exclusion and a high incidence of child poverty. While Spain has introduced a minimum income at the national level, social inclusion policies are the responsibility of the regions. At present, the coverage of the minimum income remains low and there are many differences in the design and implementation of social inclusion policies across regions, especially as a number of regions do not develop social inclusion strategies. There is also a lack of a multidimensional approach to social inclusion. This report develops options for new inclusion models that address current challenges and help formulate a coherent inclusion strategy. It also sets out a blueprint for developing a monitoring and evaluation framework. The recommendations aim to increase the effectiveness of minimum income policies and strengthen the co-ordination between social services, employment, health and housing.

The OECD review of Gender Equality in Colombia: Towards a Better Sharing of Paid and Unpaid Work is the third 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 Colombia with other countries. Particular attention is put on the uneven distribution of unpaid work, and the extra burden this places on women. It investigates how policies and programmes in Colombia can make this distribution more equitable. The first part of the report reviews the evidence on gender gaps and on what causes these, including the role played by attitudes. 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) and Peru (2022).

This paper analyses the association of labour market outcomes and family policies with fertility trends between 2002 and 2019 in 26 OECD countries. While the average age of mothers at birth of their children continued to increase over the entire period, these years have been marked by an initial catching-up of total fertility rates after marked declines in previous decades. Furthermore, after peaking in 2008, total fertility rates declined substantially, fueling concerns about demographic, economic and fiscal implications. Using panel data models and building on prior work, this paper links these changes in fertility outcomes to changes in the labour market position of men and women as well as with changes in family policies, such as parental leaves and early childhood education and care. This paper provides insights into the complex dynamics between family policies, employment and fertility, shedding light on the factors influencing overall population dynamics in OECD countries.

This paper provides an assessment of the 2019 minimum-wage hike in Spain, which increased the minimum wage by 22% and directly concerned 7% of dependent employees. The assessment is based on an individual-level analysis that follows the outcomes of workers that were employed in the year before the reform over time. Among directly affected workers, the hike in the minimum wage increased full-time equivalent monthly earnings by on average 5.8% and reduced employment by -0.6%. The wage effects are stronger for workers on open-ended contracts, while the employment effects are stronger for workers on fixed-term contracts.

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.

Generative artificial intelligence (AI) creates new content in response to prompts, offering transformative potential across multiple sectors such as education, entertainment, healthcare and scientific research. However, these technologies also pose critical societal and policy challenges that policy makers must confront: potential shifts in labour markets, copyright uncertainties, and risk associated with the perpetuation of societal biases and the potential for misuse in the creation of disinformation and manipulated content. Consequences could extend to the spreading of mis- and disinformation, perpetuation of discrimination, distortion of public discourse and markets, and the incitement of violence. Governments recognise the transformative impact of generative AI and are actively working to address these challenges. This paper aims to inform these policy considerations and support decision makers in addressing them.

Automation of vehicles and in the workplace is transforming the transport industry. This report investigates the impacts of automation on the workforce in urban transport. It explores ways to help the labour market transition towards automated technologies without social disruptions. The report also examines how algorithms could improve employment opportunities and job quality in the transport industry.

This report examines Alberta's labour market trends, focusing on the impact of economic downturns, the COVID-19 crisis, and digital transformation. This study uses real-time labour market data, drawn from online job postings, to offer a granular perspective on demand dynamics across various sectors and occupations. The analysis in the report identifies emerging labour shortages in Alberta due to mega-trends such as digitalisation, AI adoption, automation, and population ageing and discusses key challenges such as youth unemployment and sector-specific labour shortages. The analysis in this report provides insights for policy makers, suggesting a need to support growing sectors, enhance digital skills development, address demand for health workers, and improve youth job access.