Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/185974
Authors: 
Losa, Fabio
Soldini, Emiliano
Year of Publication: 
2011
Citation: 
[Journal:] Swiss Journal of Economics and Statistics [ISSN:] 2235-6282 [Volume:] 147 [Year:] 2011 [Issue:] 1 [Pages:] 17-44
Abstract: 
This paper is an empirical investigation into working poverty across the seven statistical regions in Switzerland. By analysing, in a comparative setting, the determinants of the probability of falling below the poverty line and the resulting social groups at risk, the paper aims at shedding light on the existence of regional patterns and peculiarities which could call for regional policies rather than nationwide ones. By using data from the Swiss Labour Force Survey of 2006, and adopting a definition of working poor as "people aged between 20 and 59 years who are working and who live in a working and poor household" and an absolute poverty line, data are analysed by two complementary methods - logistic regression and classification trees -A in order to better assist policymakers in understanding the issues at stake and in the subsequent decision-making process.
Subjects: 
working poor
classification trees
logistic regression
JEL: 
I32
J3
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by/4.0/
Document Type: 
Article
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