Occupational Segregation in the Indian Labour Market

Tushar Agrawal

The European Journal of Development Research, 2016, vol. 28, issue 2, 330-351

Abstract: This article measures the extent of occupational segregation for gender and social groups in India. It is based on a recent round of a nationally representative employment and unemployment survey of the Government of India. We use overall and local measures of occupational segregation. We find that occupational segregation for both genders and social groups is higher in the urban sector than in the rural sector. Females are more segregated than their male counterparts in both sectors. Among social groups, scheduled caste and scheduled tribe groups have higher levels of segregation. Furthermore, we find that regular workers and the elderly are more segregated when we examine segregation, respectively, by nature of employment and across age groups.

Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.palgrave-journals.com/ejdr/journal/v28/n2/pdf/ejdr201510a.pdf Link to full text PDF (application/pdf)
http://www.palgrave-journals.com/ejdr/journal/v28/n2/full/ejdr201510a.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:2:p:330-351

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 ().