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Social networks and employment in India

Author

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  • Tushar K. Nandi

    (ADIS, Université Paris-Sud)

Abstract

We investigate the influence of social networks on employment. Using data from India, we estimate the effect of caste based social networks on employment. We use a methodology that allows us to control for several omitted variable biases that often confound network effect. Our results indicate that caste based social networks are important determinant of employment in India. The implication of our findings is that a policy of positive discrimination in labour market for disadvantaged caste is able to generate additional benefit through network channels.

Suggested Citation

  • Tushar K. Nandi, 2010. "Social networks and employment in India," Economics Bulletin, AccessEcon, vol. 30(4), pages 2769-2778.
    • Handle: RePEc:ebl:ecbull:eb-10-00390
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    File URL: http://www.accessecon.com/Pubs/EB/2010/Volume30/EB-10-V30-I4-P255.pdf
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    Cited by:

    1. Sébastien Michiels & Christophe Jalil Nordman & Suneha Seetahul, 2021. "Many Rivers to Cross: Social Identity, Cognition, and Labor Mobility in Rural India," The ANNALS of the American Academy of Political and Social Science, , vol. 697(1), pages 66-80, September.
    2. Abusaleh Shariff, 2017. "District Development and Diversity Index: A Methodology That Promotes Evaluation and Assessment of Development and Welfare Programmes in India," Journal of Development Policy and Practice, , vol. 2(1), pages 1-23, January.

    More about this item

    JEL classification:

    • J0 - Labor and Demographic Economics - - General

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