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Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/3148

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Title: Earnings inequality and in-work-poverty
Authors: Gutiérrez Palacios, Rodolfo
Guillén Rodríguez, Ana Marta
Peña-Casas, Ramón
Issue Date: 2009
Publisher: The University of Edinburgh
Series/Report no.: REC-WP
07 / 09
Abstract: Earnings are one of the most relevant dimensions of job quality. They are the main reward within the employment relation, the one most valued by workers and the most multi-faceted instrument for achieving other goals. Very frequently, it is also closely associated with other objective and subjective dimensions of employment quality. Still, sociological and politics research only rarely consider the monetary components of employment quality. In the last two decades, different factors stemming from the process of globalization, the evolution of the economy, changes in the labour market and social protection institutions and policies have led to changes in the level and patterns of earnings and income inequality. This contribution does not intend to draw a detailed picture of the state of that research; it rather aims to provide a quick glance into the situation and the most recent long or medium-term wage trends in a comparative international and European perspective. It is divided into 6 sections. The first deals with our level of knowledge about the impact of economic globalization on earnings inequalities. Sections 2 and 3 are devoted to the dynamics and present situation of the incidence of low paid work and in-work poverty respectively. Section 4 reflects on the different social, labour market and tax policies that may potentially rescue people from low pay and in-work poverty. Section 5 evaluates existing data and indicators. Finally, section 6 includes some tentative proposals for future research.
Sponsor(s): European Commission Sixth Framework Programme
Keywords: Social Policy
URI: http://hdl.handle.net/1842/3148
Appears in Collections:Reconciliation of Work and Welfare in Europe working paper series

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