The Effect of Parental Background on Track Choices and Wages
Jean-Marc Falter,
Giovanni Ferro Luzzi and
Federica Sbergami
Swiss Journal of Economics and Statistics (SJES), 2011, vol. 147, issue II, 157-180
Abstract:
Intergenerational links are often investigated by computing educational attainment correlations between parents and children, even though parental background may influence outcomes at earlier stages of the educational path. Because of early school track selection and widespread vocational training, this effect may be quite important in the Swiss context. We first investigate the importance of parental background variables for upper secondary educational attainment over the last 6 decades. We next estimate the impact of parental background on earnings. This effect is shown to depend on the magnitude of intergenerational correlations, the returns to qualifications and the availability of further training for those having ended up in a low educational track at age 15. The impact of tracking at age 15 on wage inequality is found to be relatively small in Switzerland, comparing to results for Germany. Relatively low returns from academic education best explain this pattern.
Keywords: intergenerational mobility; upper secondary education; returns to education (search for similar items in EconPapers)
JEL-codes: J31 J62 (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sjes.ch/papers/2011-II-2.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:ses:arsjes:2011-ii-2
Access Statistics for this article
Swiss Journal of Economics and Statistics (SJES) is currently edited by Marius Brülhart
More articles in Swiss Journal of Economics and Statistics (SJES) from Swiss Society of Economics and Statistics (SSES) Contact information at EDIRC.
Bibliographic data for series maintained by Kurt Schmidheiny ().