Social Assistance Regimes: A Cluster Analysis
By I. Gough. 2001
150 citations recorded by the source corpus.
Subfields: Demography, General Health Professions, Political Science and International Relations
View Paper: https://www.semanticscholar.org/paper/32ff2cb2eed4a6672cbf64d5fc2c66e69b2e3d69
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Citations in the corpus
- Defamilisation and welfare state regimes: a cluster analysis (2007, methodology): “There are two more commonly used forms of cluster analysis: hierarchical and K-means (Pitruzzello, 1999; Gough, 2001).”
- Worlds of welfare services and transfers (2008, methodology): “…techniques have won widespread popularity as alternative methods in recent studies of welfare regimes, e.g. factor analysis (Shalev, 1996) and, especially, cluster analysis (Gough, 2001; Obinger and Wagschal, 2001; Kautto, 2002; Saint-Arnaud and Bernard, 2003; Powell and Barrientos, 2004).”
- An Audit of the Welfare Modelling Business (2011, methodology): “A wide range of statistical approaches have been used including cluster analysis (Kangas 1994; Pitruzzello 1999; Gough 2001; Obinger and Wagschal 2001; Hicks and Kenworthy 2003; Powell and Barrientos 2004; Castles and Obinger 2008; Jensen 2008); factor and principal components analysis (Shalev…”
- Research Note: Decommodification and the worlds of welfare revisited (2006, methodology): “…expressed by other commentators (such as Castles and Mitchell, 1993; Kangas, 1994; Ragin, 1994; Shalev, 1996; Fawcett and Papadopoulos, 1997; Pitruzello, 1999; Gough, 2001; Arts and Gelissen, 2002), and indeed to acknowledge a couple of further issues that emerged specifically from this project.”
- Welfare regimes and welfare state outcomes in Europe (2012, background): “See, for example, Obinger and Wagschal (2001), Gough (2001), Saint-Arnaud and Bernard (2003), Bambra (2007) and Jensen (2008), who apply cluster analyses to empirically test welfare state typologies on the basis of different output measures.”