In this paper we include measures of school quality in regressions determining the labour market premiums to education level.
In this paper we document the impact of education levels on labour market outcomes from 1994 to 2010 using national household survey data.
The charts show for each of the following countries and territories, and for the years 2009-2011: net ODA receipts, top ten donors of gross ODA, population and GNI per capita and bilateral ODA by sector.
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This case study is part of the OECD project on Mobilising Private Investment in Low-Carbon, Climate-Resilient Infrastructure. The aim of the project is to assess and promote good practice policies that help countries encourage private sector investment in low-carbon climate-resilient infrastructure.
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Gains in female education attainment have contributed to a worldwide increase in women’s participation in the labour force, but considerable gaps remain in working hours, conditions of employment and earnings. More specific data for South Africa are available in this country note.
The OECD Secretariat has extended its database on regulatory management indicators to the following countries: Brazil, Chile, Estonia, Israel, Russia, Slovenia, South Africa. The results can be downloaded in the form of individual country notes.
At the Global Forum in Cape Town, South Africa, delegates from 81 jurisdictions and 11 international organisations evaluated whether all Forum members are exchanging tax information effectively.
The 2012 Ministerial Council Meeting marks the fifth anniversary of the launching of Enhanced Engagement, aimed at advancing the OECD's relationship with five Key Partners, Brazil, China, India, Indonesia and South Africa. At the 2011 meeting of the OECD Council at Ministerial level (MCM), Members agreed on a Vision Statement which highlighted the priority to be given to developing new forms of partnership and collaboration with each
How can government policies move towards increasing agricultural innovation and improving productivity? This OECD conference shared case studies and ideas from Europe, China, United States, India, Africa, Brazil, Australia and New Zealand.
Monetary aggregate indices presented are Narrow money (M1) and Broad money (M3). They are calculated as averages of the monthly figures. For all countries which do not provide data corresponding to the average for the month, estimates of monthly levels have been made using end of previous and current month figures. The annual and quarterly figures are then calculated as averages of the estimated monthly data and the indices are