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Questo progetto si prefigge di migliorare il contributo delle politiche destinate alla creazione di nuovi e migliori posti di lavoro, sostenere l’inclusione, la coesione sociale e la competitività del territorio trentino.
This project will seek to enhance the contribution of labour market policy to the creation of more and better quality jobs, assessing the capacity of employment policy and services to enhance competitiveness and employment outcomes in the Autonomous Province of Trento.
Can both less income inequality and more growth be achieved? A recent OECD study sheds new light on the link between policies that boost growth and the distribution of income.
English, , 116kb
How can employment, training programmes and services be delivered in a more responsive way to emerging local business needs and economic development strategies in Cambodia? How can more effective partnerships be built between industry and education/training to address skills mismatch?
This paper explores the role of macroeconomic factors and structural policies in shaping the distribution of labour income.
This dataset includes annual statistics on population, working age population by sex. Data is available in thousands of persons and indices (2000=100) for the 30 OECD member countries and 4 zones (European Union of fifteen, Euro area, Major Seven and OECD-Total). Source: OECD Labour Force Statistics
Unconditional and conditional quantile regressions are used to explore the determinants of labour earnings at different parts of the distribution and, hence, the determinants of overall labour earnings inequality.
Source: OECD Main Economic Indicators (updated continuously) - Hourly earnings correspond to seasonally adjusted average total earnings in manufacturing and private sector paid per employed person per hour, including overtime pay and regularly recurring
Unemployment statistics derived from administrative registers. The series are updated continuously.
Source: OECD Main Economic Indicators (updated continuously) - Employment is presented in total and by broad industry and is derived from labour force sample surveys.