The Annals of Regional Science

, Volume 56, Issue 2, pp 433–448 | Cite as

Social networks and Black–White differentials in public employment agency usage among mature job seekers

  • Marie T. MoraEmail author
  • Alberto Dávila
  • James Boudreau
Original Paper


We conceptually and empirically analyze how local labor market weakness impacts the usage of public employment agencies (PEAs) between Blacks and Whites in the USA. Employing restricted-use data from the National Longitudinal Survey of Youth, our empirical results indicate that Blacks have higher PEA-usage rates than Whites, likely caused by their higher unemployment rates. However, Whites in regions with relatively weak professional networks tended to tap into PEAs more than otherwise similar Blacks, reducing the Black–White differential in PEA usage. These findings fit with the conceptual prediction that Whites endure a disproportionate negative impact when tighter labor markets (and thus fewer referrals) exist. They also raise the question about whether current anti-labor-market discrimination policies account for potential job-referral differentials between Black and Whites. To the extent that employers favor employee recommendations from members of a particular racial/ethnic group, then perhaps policy targeting discrimination in the workplace should consider how job openings are initially advertised and subsequently filled.

JEL Classification

J64 D85 J15 


  1. Ali C, Norton EC (2003) Interaction terms in logit and probit models. Econ Lett 80:23–29CrossRefGoogle Scholar
  2. Blau DM, Robins PK (1990) Job search outcomes for the employed and unemployed. J Polit Econ 98:637–655CrossRefGoogle Scholar
  3. Bloch F, Jackson MO (2007) The formation of networks with transfers among players. J Econ Theory 133:83–110CrossRefGoogle Scholar
  4. Cao M, Shi S (2000) Coordination, matching, and wages. Can J Econ 33:1009–1033CrossRefGoogle Scholar
  5. Caliendo M, Schmidl R, Uhlendorff U (2011) Social networks, job search methods and reservation wages: evidence for Germany. Int J Manpow 32:796–824CrossRefGoogle Scholar
  6. Calvó-Armengol A (2004) Job contact networks. J Econ Theory 115:191–206CrossRefGoogle Scholar
  7. Calvó-Armengol A, Jackson MO (2004) The effects of social networks on employment and inequality. Am Econ Rev 94:426–454CrossRefGoogle Scholar
  8. Calvó-Armengol A, Jackson MO (2007) Networks in labor markets: wage and employment dynamics and inequality. J Econ Theory 132:27–46CrossRefGoogle Scholar
  9. Cohen A, Timmons JC, Fesko SL (2005) The workforce investment act: how policy conflict and policy ambiguity affect implementation. J Disabil Policy Stud 15:221–230CrossRefGoogle Scholar
  10. Decker PT, Berk JA (2011) Ten years of the workforce investment act (WIA): interpreting the research on WIA and related programs. J Policy Anal Manag 30:906–926CrossRefGoogle Scholar
  11. Granovetter M (1973) The strength of weak ties. Am J Sociol 78:1360–1380CrossRefGoogle Scholar
  12. Granovetter M (1974) Getting a job: a study of contacts and careers, 1st edn. Harvard University Press; 2nd edn (1995), University of Chicago Press, ChicagoGoogle Scholar
  13. Holzer HJ (1988) Search method use by unemployed youth. J Labor Econ 6:1–20CrossRefGoogle Scholar
  14. Holzer HJ (1987) Informal job search and black youth unemployment. Am Econ Rev 77:446–452Google Scholar
  15. Ioannides YM, Loury LD (2004) Job information networks, neighborhood effects, and inequality. J Econ Lit XLII 1056:1093Google Scholar
  16. Jackson MO (2005) A survey of network formation models: stability and efficiency. In: Demange D, Wooders M (eds) Group formation in economics: networks, clubs and coalitions. Cambridge University Press, Cambridge, pp 11–49CrossRefGoogle Scholar
  17. Jackson MO, Wolinsky A (1996) A strategic model of social and economic networks. J Econ Theory 71:44–74CrossRefGoogle Scholar
  18. Jackson MO, Watts A (2002) The evolution of social and economic networks. J Econ Theory 106:265–295CrossRefGoogle Scholar
  19. Joassart-Marcelli P, Giordano A (2006) Does local access to employment services reduce unemployment? A GIS analysis of one-stop career centers. Policy Sci 39:335–359CrossRefGoogle Scholar
  20. LaLonde RJ (2002) Job search and the employment service: a survey and methods and findings. The Irving B. Harris Graduate School of Public Policy Studies, The University of Chicago; Prepared for the U.S. Department of LaborGoogle Scholar
  21. Mailath G, Samuelson L, Shaked A (2000) Endogenous inequality in integrated labor markets with two-sided search. Am Econ Rev 90:46–72CrossRefGoogle Scholar
  22. McCall JJ (1970) Economics of information and job search. Q J Econ 84:113–126CrossRefGoogle Scholar
  23. Montgomery JD (1991) Social networks and labor market outcomes. Am Econ Rev 81:1408–1418Google Scholar
  24. Montgomery JD (1992) Job search and network composition: implications of the strength-of-weak-ties hypothesis. Am Sociol Rev 57:586–596CrossRefGoogle Scholar
  25. Mortensen D (1986) Job search and labor market analysis. In: Ashenfelter O, Layard R (eds) Handbook of labor economics, vol II. North Holland Press, Amsterdam, pp 849–919Google Scholar
  26. Tassier T (2005) A Markov model of referral based hiring and workplace segregation. J Math Sociol 29:233–262CrossRefGoogle Scholar
  27. Tassier T, Menczer F (2008) Social network structure, segregation, and equality in a labor market with referral hiring. J Econ Behav Organ 66:514–5228CrossRefGoogle Scholar
  28. Thomas JM (1997) Public employment agencies and unemployment spells: reconciling the experimental and nonexperimental evidence. Ind Labor Relat Rev 50:667–683CrossRefGoogle Scholar
  29. U.S. Bureau of Labor Statistics (2014) Labor Force Statistics from the Current Population Survey, Washington, DC.
  30. U.S. Bureau of Labor Statistics (2010) National Longitudinal Surveys: NLSY79. Washington, DC.
  31. Van den Berg GJ, van der Klaauw B (2006) Counseling and monitoring of unemployed workers: theory and evidence from a controlled social experiment. Int Econ Rev 47:895–936CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Marie T. Mora
    • 1
    Email author
  • Alberto Dávila
    • 1
  • James Boudreau
    • 1
  1. 1.Department of Economics and FinanceThe University of Texas Rio Grande ValleyEdinburgUSA

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