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            Making work more equal

            A new labour market segmentation approach

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            Contributor(s)
            Grimshaw, Damian (editor)
            Fagan, Colette (editor)
            Hebson, Gail (editor)
            Tavora, Isabel (editor)
            Language
            English
            Show full item record
            Abstract
            This book is inspired by, and dedicated to, Jill Rubery. Jill is a major figure in international debates on inequalities in work and employment. Her intellectual contributions are renowned for both their critical questioning of mainstream theoretical approaches, whether in economics, management, industrial relations or comparative systems, and their attention to real-world empirical detail. Jill’s intellectual roots are with the influential Cambridge economics group researching labour market segmentation in the late 1970s and 1980s during a period when Keynesian economic thought was being eclipsed by neoclassical economics modelling. The research was inter-disciplinary, grounded in data (mostly involving case studies of firms) and driven by an ambitious intellectual agenda that developed theory while also illuminating practical matters of relevance to policy-makers and practitioners.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/174790
            Keywords
            economics; employment; new labour; inequalities; new approach; work; Collective bargaining; Minimum wage; Unemployment; Working time; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics
            DOI
            10.7765/9781526125972
            ISBN
            9781526125972
            Publisher
            Manchester University Press
            Publisher website
            http://www.manchesteruniversitypress.co.uk/
            Publication date and place
            2017
            Pages
            368
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            Credits


            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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