Intergenerational Persistence of Industry in India

Tushar Nandi ()

The European Journal of Development Research, 2016, vol. 28, issue 3, 495-511

Abstract: This article studies the intergenerational persistence of industry in India. Using data from a nationally representative sample, we find that 62 per cent of young Indian men are employed in the same industry as their fathers. A set of simulations that assign young men randomly across industries is run to study the persistence in a counter-factual population. We use a probit model to estimate the effect of education, productive asset ownership and father’s network on intergenerational persistence. Higher education is found to be associated with lower persistence. Ownership of productive assets exerts a significant non-linear effect on intergenerational transmission of industry. We also find substantial evidence of the influence of father’s network and assortative matching in parents’ generation on son’s choice of industry.

Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.palgrave-journals.com/ejdr/journal/v28/n3/pdf/ejdr201515a.pdf Link to full text PDF (application/pdf)
http://www.palgrave-journals.com/ejdr/journal/v28/n3/full/ejdr201515a.html Link to full text HTML (text/html)
Access to full text is restricted to subscribers.

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:pal:eurjdr:v:28:y:2016:i:3:p:495-511

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/41287/PS2

Access Statistics for this article

The European Journal of Development Research is currently edited by Spencer Henson and Natalia Lorenzoni

More articles in The European Journal of Development Research from Palgrave Macmillan, European Association of Development Research and Training Institutes (EADI) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().