Education, social origins and career (im)mobility in contemporary Italy A holistic and categorical approach

"Italy has always been characterized by low rates of career mobility. However, whilst the essential features of intragenerational (im)mobility in Italy are relatively well known, much less is known about the pattern of the specific paths linking the class of the first job with later class posit...

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Bibliographic Details
Published inEuropean societies Vol. 13; no. 3; pp. 481 - 503
Main Author Bison, Ivano
Format Journal Article
LanguageEnglish
Published Taylor & Francis Group 01.07.2011
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Summary:"Italy has always been characterized by low rates of career mobility. However, whilst the essential features of intragenerational (im)mobility in Italy are relatively well known, much less is known about the pattern of the specific paths linking the class of the first job with later class positions. To date, no studies of career mobility have been conducted in holistic terms; that is, based on examination of the entire sequence of the class positions occupied by an individual during his/her work history. This paper develops a typology of sequences of transition from one social class to another which preserves the qualitative differences among individual sequences. We introduce a new method to measure resemblance among sequences in order to identify the main career paths observable in Italy. We then examine how these profiles have changed over time because of transformations in the economic system and of the changing size of different social classes. Furthermore, we will try to determine whether and how social origins and education affect the probabilities of following those paths. The results show that social origins: 1) still influence the career patterns of younger cohorts); and 2) play a very important role in modifying the chances of highly-educated people to enter the upward career patterns leading to the service class or to white-collar positions." (Author's abstract, IAB-Doku). Die Untersuchung enthält quantitative Daten. Forschungsmethode: empirisch-quantitativ; empirisch; Längsschnitt. Die Untersuchung bezieht sich auf den Zeitraum 1997 bis 2005.
ISSN:1469-8307
1461-6696
1469-8307
DOI:10.1080/14616696.2011.568257