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Referral networks and inequality

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  • Manolis Galenianos

    (Royal Holloway, University of London)

Abstract

I develop a theoretical model to study the welfare effects of using referrals in the labor market. In the model, firms use referrals to hire, workers are heterogeneous and the social network endogenous. Consistent with empirical evidence, referred workers are more likely to be hired, to receive a higher wage and to be more productive. The use of referrals exacerbates inequality among workers. Higher inequality is efficient if heterogeneity is driven by productivity differentials but is detrimental to efficiency if the probability of forming a match is weakly correlated with productivity, which is likely in the presence of discrimination.

Suggested Citation

  • Manolis Galenianos, 2016. "Referral networks and inequality," 2016 Meeting Papers 1173, Society for Economic Dynamics.
  • Handle: RePEc:red:sed016:1173
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    References listed on IDEAS

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    1. Manolis Galenianos, 2013. "Learning About Match Quality and the Use of Referrals," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(4), pages 668-690, October.
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    Cited by:

    1. Horvath, Gergely & Zhang, Rui, 2018. "Social network formation and labor market inequality," Economics Letters, Elsevier, vol. 166(C), pages 45-49.

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