966 resultados para Closed labour markets


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Drawing on transitional labor market (TLM) theory, this introductory chapter highlights major themes, overviews the contributions to this volume and suggests a future agenda for policy makers. The focus of applied research projects has been the impact of post-modem social transformations on systems of social protection, looking through the lens of the labor market and shifts in household and family structure. The Transitional Labor Market project uses the TLM model as a means of developing new thinking on how flexibility and innovation might be paired with social investment and new forms of social protection. TLM theory emphasizes the importance of institutions and of the links between different institutions which frequently operate as policy silos, rather than integrated systems to buffer risks and support capability and enhance employability. The great advantage of the TLM model is that it draws attention to the right places for strategic reform. It does not offer a standard set of institutions to facilitate transitions however.

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This study uses data from the Victorian Public Sector Census 2004 to identify the extent of equity in pay and career progression (promotion). A system of three equations is developed to capture the endogeneity between human capital and promotion and the interdependence between promotion, pay and human capital. The results indicate that there are substantial differences in the average wages earned by public sector employees in different Equal Employment Opportunity (EEO) groups. While some of these differences arise from factors beyond the control of the public sector employers, others arise from bias in the public sector employment system and procedures. The earnings of individual employees in the public sector are determined in a systematic way by the wage structures in the different sub-sectors, the skill base of the employee on recruitment, sub-sector specific promotion rates, acquisition of formal and informal training and the apparent bias within recruitment and promotion systems in dealing with particular groups. The apparent bias of recruitment and promotion systems is complex in makeup and varies within EEO groups as well as between EEO groups. Most of the difference in pay across employees can be explained as an outcome of individual choice and labour market conditions external to the public sector. After adjusting for sectoral wage differences, skill base when recruited, sectoral promotion rate differences, experience in the public sector, whether individuals are employed on a full-time or part-time basis and individual training decisions, the statistical evidence is consistent with the finding that public sector recruitment and promotion systems tends to be biased, on average, against females and those from culturally diverse backgrounds. Achievements in formal education are important for salary progression. This is particularly the case for women. The main drivers of participation in formal education were employer support in both financial and non-financial terms. Promotion rates were important factors in explaining wage differences. Women tended to receive slightly fewer promotions than men, but women received, on average, greater rewards for each promotion.

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Female wages in Bangladesh are significantly lower than male wages. This paper quantifies the extent to which discrimination can explain this gender wage gap across the rural and urban labour markets of Bangladesh, using unit record data from the 1999–2000 Labour Force Survey. The gender wage differential is decomposed into a component that can be explained by differences in productive characteristics and a component not explained by observable productive differences, which is attributed to discrimination. An attempt is also made to improve on the standard methodology by implementing a wage-gap decomposition method that accounts for selectivity bias, on top of the usual “explained” and “unexplained” components. Analytical results from this paper show that gender wage differentials are considerably larger in urban areas than in rural areas and a significant portion of this wage differential can be attributed to discrimination against women. The results also show that selectivity bias is an important component of total discrimination.

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