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Swiss Journal of Economics and Statistics

, Volume 147, Issue 1, pp 17–44 | Cite as

The Similar Faces of Swiss Working Poor

An Empirical Analysis Across Swiss Regions Using Logistic Regression and Classification Trees
  • Fabio B. Losa
  • Emiliano Soldini
Open Access
Article

JEL-Classification

I32 J3 

Keywords

working poor classification trees logistic regression 

References

  1. Deutsch, Joseph, Yves Flückiger and Jacques Silber (1999), « ‹La population des bas salaires› et des ‹working poor› en Suisse», in: Robert Fluder, Marion Nolde, Tom Priester and Antonin Wagner (eds), Comprendre la pauvreté pour mieux la combattre, Federal Statistical Office, Neuchâtel, pp. 247–275.Google Scholar
  2. European Foundation for the Improvement of Living and Working Conditions (2004), Working Poor in the European Union, Luxembourg.Google Scholar
  3. Evans, John M., and Ray K. Chawla (1990), “Work and Relative Poverty”, Perspectives on Labour and Income, 2 (2).Google Scholar
  4. Fabbris, Luigi (1997), Statistica multivariata. Analisi esplorativa dei dati, McGraw-Hill, Milan.Google Scholar
  5. Falter, Jean-Marc (2006), “Equivalence Scales and Subjective Data in Switzerland”, Swiss Journal of Economics and Statistics, 142 (2), pp. 263–284.Google Scholar
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  7. Leu, Robert E., Stefan Burri and Tom Priester (1997), Lebensqualität und Armut in der Schweiz. Verlag Paul Haupt, Bern-Stuttgart-Wien.Google Scholar
  8. Losa, Fabio B., and Emiliano Soldini (2006), Working but Poor in Ticino. Analisi statistica sulla base dei dati della Rilevazione sulle forze di lavoro del 2003. Aspetti statistici, Ufficio di statistica del cantone Ticino, Bellinzona. OECD (2001), Employment Outlook, Paris.Google Scholar
  9. Sharpe, Andrew (2001), “Estimates of Relative and Absolute Poverty Rates for the Working Population in Developed Countries”, Paper presented at Meeting of the Canadian Economics Association, Montreal.Google Scholar
  10. Streuli, Elisa, and Tobias Bauer (2002), Working Poor in der Schweiz. Konzepte, Ausmass und Problemlagen aufgrund der Daten der Schweizerischen Arbeitskräfteerhebung, Federal Statistical Office, Neuchâtel.Google Scholar

Copyright information

© Swiss Society of Economics and Statistics 2011

Authors and Affiliations

  1. 1.Statistical Office of the Ticino CantonBellinzonaSwitzerland
  2. 2.Center for Research in Economics and ManagementUniversity of Rennes 1RennesFrance
  3. 3.Department of Business Management and Social Work of the University of Applied Sciences of Southern SwitzerlandMannoSwitzerland

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