Investigating Welfare State Change: The ‘Dependent Variable Problem’ in Comparative Analysis

Author:   Jochen Clasen ,  Nico A. Siegel
Publisher:   Edward Elgar Publishing Ltd
ISBN:  

9781847209894


Pages:   352
Publication Date:   30 July 2008
Format:   Paperback
Availability:   In Print   Availability explained
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Investigating Welfare State Change: The ‘Dependent Variable Problem’ in Comparative Analysis


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Author:   Jochen Clasen ,  Nico A. Siegel
Publisher:   Edward Elgar Publishing Ltd
Imprint:   Edward Elgar Publishing Ltd
Dimensions:   Width: 15.60cm , Height: 1.50cm , Length: 23.40cm
Weight:   0.666kg
ISBN:  

9781847209894


ISBN 10:   1847209890
Pages:   352
Publication Date:   30 July 2008
Audience:   College/higher education ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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'The welfare state is a catch-all term which covers a broad range of governmental interventions into social affairs. Over the past decades, social policy scholars have devoted tremendous efforts to analyze those factors that account for cross-national variation and energize the reform trajectories of advanced welfare states. By contrast, the dependent variable has received much less attention: This volume presents a systematic overview of the dependent variable problem in comparative welfare state research. By sketching different approaches on how to conceptualize and measure social policy change and by highlighting their genuine strengths and weaknesses, this volume should be on the bookshelf of everyone interested in comparative social policy research.' - Stephan Leibfried, University of Bremen, Germany


Author Information

Edited by Jochen Clasen, formerly Professor of Comparative Social Policy, University of Edinburgh, UK and Nico A. Siegel, Infratest dimap, Germany

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