The lifetime gender gap in Italy. Does the pension system countervail labour market outcomes?

Leombruni Roberto () and Mosca Michele ()
Additional contact information
Mosca Michele: University of Turin, http://www.est.unito.it/

Department of Economics and Statistics Cognetti de Martiis. Working Papers from University of Turin

Abstract: In Italy large work career gender gaps currently ex ist, particularly regarding wages and activity rates. This paper investigates the issue looking at lifetime incomes, where from the one side all the career gaps are sum med up, from the other the redistribution acted by the pension system may mitigate the differences. Exploiting an original database on entire work careers, we document how the pay gap constantly widens with age and how women tend to cumulate a lower number of eligible working years. Both gaps have an impact on the pension calculation, so that at retirement gender differences are even higher. By means of a microsimulation model we show that the pension system partially countervails labour market outcomes, implying lower differences in lifetime in comes. However, due to the current transition to an actuarially neutral system, the effect will vanish, posing some concerns about the future prospects of gender income inequality

Pages: 26 pages
Date: 2013-01
New Economics Papers: this item is included in nep-age, nep-dem and nep-eur
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.est.unito.it/do/home.pl/Download?doc=/a ... 013dip/wp_2_2013.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:uto:dipeco:201302

Access Statistics for this paper

More papers in Department of Economics and Statistics Cognetti de Martiis. Working Papers from University of Turin Contact information at EDIRC.
Bibliographic data for series maintained by Laura Ballestra () and Cinzia Carlevaris ().