Female Labour Participation with Concurrent Demographic Processes: An Estimation for Italy

Gustavo De Santis () and Antonino Di Pino ()
Additional contact information
Gustavo De Santis: University of Florence, Department of Statistics
Antonino Di Pino: University of Messina

Chapter Chapter 7 in Causal Analysis in Population Studies, 2009, pp 149-165 from Springer

Abstract: This paper sets out to measure the “true” influence of partnering and fertility decisions on women’s participation in the labour market in Italy in 2002. Our model is rather complex for the following reasons. Firstly, because we consider several demographic processes, all of which are potentially affected by endogeneity (i.e. are in turn influenced by labour market decisions). Secondly because we use a cross sectional data source with retrospective questions, which calls into question two additional issues: selectivity and treatment effects. Selectivity arises because only a few, non-random individuals (women in our case) are observed in a given state (e.g. at work, or with children). Treatment effects arise because certain experiences of the past (e.g. having found a husband), may later put a woman on a different life course, which affects her approach towards family formation and labour participation.

Keywords: Labour Market; Instrumental Variable; Female Employment; Labour Market Participation; Marital Dissolution (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:

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:spr:ssdmcp:978-1-4020-9967-0_7

Ordering information: This item can be ordered from
http://www.springer.com/9781402099670

DOI: 10.1007/978-1-4020-9967-0_7

Access Statistics for this chapter

More chapters in The Springer Series on Demographic Methods and Population Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().