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Labour market reform to improve growth prospects and reduce inequality is a top priority in the face of rapid population ageing and a dualistic labour market. Sustaining output growth requires policies to mitigate the impact of rapid population ageing by increasing labour inputs from under-employed segments of the population.
The rapid expansion of education in Korea is exceptional and has played a key role in its economic
development. Sustaining Korea’s growth potential in the face of demographic headwinds requires further
improving the education system to boost productivity growth.
Bringing you the highlights from the OECD Directorate for Education and Skills
The insight that education is valuable both to individuals and to countries is not new. Using continuously improving data and statistical tools, we have come to understand and appreciate the magnitude of education’s impact on employment, income, health and life opportunities in general.
The jobs gap between well-educated young people and those who left school early has continued to widen during the crisis. A good education is the best insurance against a lack of work experience, according to the latest edition of the OECD’s annual Education at a Glance.
Education at a Glance 2013 - Country notes and key fact tables
One thing we have learned from surveying teachers around the world as part of our Teaching and Learning International Survey (TALIS) is that teachers everywhere want more professional development.
Education at a Glance: OECD Indicators is the authoritative source for accurate and relevant information on the state of education around the world. It provides data on the structure, finances, and performance of education systems in more than 40 countries, including OECD members and G20 partners.
In most OECD countries, newly arrived 15-year-old immigrant students show poorer reading performance than immigrant students who arrived in their new country when they were younger than five.
In this paper we assess the determinants of secondary school outcomes in South Africa. We use Bayesian Averaging Model techniques to account for uncertainty in the set of underlying factors that are chosen among a very large pool of explanatory variables in order to minimize the risk of omitted variable bias.