A Trivariate Model of Participation, Fertility and Wages: The Italian Case
Maria Di Tommaso ()
Cambridge Journal of Economics, 1999, vol. 23, issue 5, 623-40
Abstract:
Italy has unusually low fertility by OECD standards, accompanied by unusually low female participation in paid work. This paper addresses the issue of the empirical relationship between fertility, female participation in the labour market and wages with these Italian 'peculiarities' as a backcloth. A trivariate model of participation, fertility and wages has been constructed and estimated using three pooled cross-sections of Italian micro data, allowing for the identification of cohort effects. This model follows a 'purist' approach: the participation and fertility decisions, as well as the wage equation, are modelled as completely joint. The cohort effects turn out to be significant: the point estimates do not appear to confirm actual trends, which are negative for fertility and positive for participation. The female wage is the most important variable influencing the propensity to have children and the propensity to participate in the labour market, casting doubt on suggestions that observed trends are the products of shifts in women's 'tastes'. Copyright 1999 by Oxford University Press.
Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (30)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:oup:cambje:v:23:y:1999:i:5:p:623-40
Ordering information: This journal article can be ordered from
https://academic.oup.com/journals
Access Statistics for this article
Cambridge Journal of Economics is currently edited by Jacqui Lagrue
More articles in Cambridge Journal of Economics from Cambridge Political Economy Society Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK.
Bibliographic data for series maintained by Oxford University Press ().