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Temporary Agency Workers in Italy: Alternative Techniques of Classification

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  • Giuseppe Porro
  • Andrea Vezzulli
  • Stefano Maria Iacus

Abstract

. Cluster analysis and the classification tree technique are applied to investigate the relationship between the individual characteristics of Italian temporary help agency (THA) workers and their probability of achieving a temporary job. The application aims to show some advantages of these techniques with respect to traditional econometric tools. Sketches of the most common profiles among Italian THA workers are obtained as a result. Besides the typical THA worker pointed out by previous studies (young male workers, with a medium–high level of education, living in the Northern regions), two new profiles have been identified: the first comprising male manual workers with previous job experience, whose average age is over 30 and whose educational level is low; the second comprising young female workers with a medium–high level of education, working in the service sector or in the public sector. The results are compared with the more usual logit analysis and show their robustness.

Suggested Citation

  • Giuseppe Porro & Andrea Vezzulli & Stefano Maria Iacus, 2004. "Temporary Agency Workers in Italy: Alternative Techniques of Classification," LABOUR, CEIS, vol. 18(4), pages 699-725, December.
    • Handle: RePEc:bla:labour:v:18:y:2004:i:4:p:699-725
    DOI: 10.1111/j.1121-7081.2004.00284.x
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    1. Alison L. Booth & Marco Francesconi & Jeff Frank, 2002. "Temporary Jobs: Stepping Stones Or Dead Ends?," Economic Journal, Royal Economic Society, vol. 112(480), pages 189-213, June.
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    Cited by:

    1. Carlo Gianelle, 2014. "Labor market intermediaries make the world smaller," Journal of Evolutionary Economics, Springer, vol. 24(5), pages 951-981, November.
    2. Carlo Gianelle, 2011. "Temporary employment agencies make the world smaller:Evidence from labour mobility networks," Department of Economics University of Siena 618, Department of Economics, University of Siena.

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