Labour Market and Flexibility. A logistic regression model to estimate the likelihood of being atypical for a woman employed in Pisa

Paola Meozzi

Discussion Papers from Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy

Abstract: How do demographic and educational factors affect a woman's occupational status? How common is non standard employment for different labour force groups and in different sectors of the labour market? This paper aims at analysing the impact of different "structural variables" in terms of risk for a woman working in the province of Pisa to be employed with a non-standard contract. Determinants of women's atypical employment in Pisa are studied using microdata for approximately 425.000 women employed in Pisa. Section 1 summarizes previous literature. Section 2 shows some descriptive evidence and the incidence patterns that exist for different demographic groups. In Section 3 regression methods are used to explore the association between particular worker characteristics and the likelihood of being employed in atypical jobs. Multivariate analyses conducted on administrative microdata during the economic crisis (2008-2013) show that some structural variables (citizenship, age and educational level) affect the type of employment stability. Moreover some female atypical workers have a higher probability of working in some sectors rather than some other ones, providing support to the horizontal occupational hypothesis.

Keywords: labour market; flexibility; atypical employment; women employment; precarious work; labour market institutions. (search for similar items in EconPapers)
JEL-codes: J08 J15 J16 J24 J71 (search for similar items in EconPapers)
Date: 2014-10-01
New Economics Papers: this item is included in nep-dem
Note: ISSN 2039-1854
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.ec.unipi.it/documents/Ricerca/papers/2014-189.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pie:dsedps:2014/189

Access Statistics for this paper

More papers in Discussion Papers from Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy Contact information at EDIRC.
Bibliographic data for series maintained by ().