Temporary Agency Workers in Italy: Alternative Techniques of Classification

27 Pages Posted: 19 Dec 2004

See all articles by Giuseppe Porro

Giuseppe Porro

University of Trieste

Andrea Vezzulli

UECE - Research Unit on Complexity in Economics

Stefano Maria Iacus

University of Milan - Department of Economics, Business and Statistics

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

Porro, Giuseppe and Vezzulli, Andrea and Iacus, Stefano Maria, Temporary Agency Workers in Italy: Alternative Techniques of Classification. Available at SSRN: https://ssrn.com/abstract=628770

Giuseppe Porro (Contact Author)

University of Trieste ( email )

Piazzale Europa 1
Trieste, Trieste 34100
Italy

Andrea Vezzulli

UECE - Research Unit on Complexity in Economics ( email )

ISEG/UTL, Rua Miguel Lupi 20
Lisboa, 1249-078
Portugal

HOME PAGE: http://pascal.iseg.utl.pt/~uece/peoplefellows.shtml

Stefano Maria Iacus

University of Milan - Department of Economics, Business and Statistics ( email )

Via Conservatorio 7
Milano, 20122
Italy
+390250321461 (Phone)
+3950321505 (Fax)

HOME PAGE: http://www.economia.unimi.it/iacus

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