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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.
Unemployment rates and levels derived from labour force surveys. The series are updated continuously.
Over the past decades, top incomes have soared, especially in the English-speaking countries. Despite a considerable amount of research on top income developments, there is still substantial disagreement about the causes for their rapid increase.
This report summarises the analysis, findings and policy recommendations from the project on Climate Change, Employment and Local Development undertaken by the OECD Local Economic and Employment Development (LEED) Programme.