IDEAS home Printed from https://ideas.repec.org/p/bie/wpaper/473.html
   My bibliography  Save this paper

Double Matching: Social Contacts in a Labour Market with On-the-Job Search

Author

Listed:
  • Zaharieva, Anna

    (Center for Mathematical Economics, Bielefeld University)

Abstract

This paper develops a matching model of the labor market with heterogeneous firms, on-the-job search and family referrals. The overall effect of referrals on wages can be decomposed into three distinct components. First, if referrals are used to help unemployed partners find jobs, then recommended workers are disproportionately concentrated in the left tail of the earnings distribution. This is a negative concentration effect of referrals, which emerges because workers accept (forward to the partner) job offers from more (less) productive employers. Second, if referrals are also used by workers to pool their less successful employed partners to more productive jobs, then the process of on-the-job search is intensified. This is a positive pooling effect of referrals. Third, better connected workers bargain higher wages for a given level of productivity. This is a positive effect of referrals on reservation wages and earnings. In the equilibrium, the overall effect of referrals can be positive (wage premiums) or negative (wage penalties). The negative effect is dominating in labor markets with strong productivity heterogeneity of firms and large bargaining power of workers. Otherwise, the positive effect is dominating. Referrals can have a negative effect on social welfare if there is a sharp drop in the search intensity after workers accept low productivity jobs.

Suggested Citation

  • Zaharieva, Anna, 2015. "Double Matching: Social Contacts in a Labour Market with On-the-Job Search," Center for Mathematical Economics Working Papers 473, Center for Mathematical Economics, Bielefeld University.
  • Handle: RePEc:bie:wpaper:473
    as

    Download full text from publisher

    File URL: https://pub.uni-bielefeld.de/download/2712095/2712182
    File Function: First Version, 2012
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Fontaine, François, 2008. "Why are similar workers paid differently? the role of social networks," Journal of Economic Dynamics and Control, Elsevier, vol. 32(12), pages 3960-3977, December.
    2. Montgomery, James D, 1991. "Social Networks and Labor-Market Outcomes: Toward an Economic Analysis," American Economic Review, American Economic Association, vol. 81(5), pages 1407-1418, December.
    3. Calvo-Armengol, Antoni & Jackson, Matthew O., 2007. "Networks in labor markets: Wage and employment dynamics and inequality," Journal of Economic Theory, Elsevier, vol. 132(1), pages 27-46, January.
    4. Yannis M. Ioannides & Adriaan R. Soetevent, 2006. "Wages and Employment in a Random Social Network with Arbitrary Degree Distribution," American Economic Review, American Economic Association, vol. 96(2), pages 270-274, May.
    5. Christopher A. Pissarides, 1994. "Search Unemployment with On-the-job Search," Review of Economic Studies, Oxford University Press, vol. 61(3), pages 457-475.
    6. John T. Addison & Pedro Portugal, 2002. "Job search methods and outcomes," Oxford Economic Papers, Oxford University Press, vol. 54(3), pages 505-533, July.
    7. Semih Tumen, 2016. "Informal versus formal search: Which yields better pay?," International Journal of Economic Theory, The International Society for Economic Theory, vol. 12(3), pages 257-277, September.
    8. Shimer, Robert, 2006. "On-the-job search and strategic bargaining," European Economic Review, Elsevier, vol. 50(4), pages 811-830, May.
    9. Mauro Sylos Labini, 2004. "Social Networks and Wages: It's All About Connections!," LEM Papers Series 2004/10, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Jolivet, Gregory & Postel-Vinay, Fabien & Robin, Jean-Marc, 2006. "The empirical content of the job search model: Labor mobility and wage distributions in Europe and the US," European Economic Review, Elsevier, vol. 50(4), pages 877-907, May.
    11. Francois Fontaine, 2003. "Do workers really benefit from their social networks?," Macroeconomics 0311002, EconWPA, revised 26 Aug 2004.
    12. Eric Delattre & Mareva Sabatier, 2007. "Social Capital and Wages: An Econometric Evaluation of Social Networking's Effects," LABOUR, CEIS, vol. 21(2), pages 209-236, June.
    13. Simon, Curtis J & Warner, John T, 1992. "Matchmaker, Matchmaker: The Effect of Old Boy Networks on Job Match Quality, Earnings, and Tenure," Journal of Labor Economics, University of Chicago Press, vol. 10(3), pages 306-330, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Semih Tumen, 2016. "Informal versus formal search: Which yields better pay?," International Journal of Economic Theory, The International Society for Economic Theory, vol. 12(3), pages 257-277, September.
    2. Stupnytska, Yuliia & Zaharieva, Anna, 2015. "Explaining the U-Shape of the Referral Hiring Pattern in a Search Model with Heterogeneous Workers," Center for Mathematical Economics Working Papers 511, Center for Mathematical Economics, Bielefeld University.
    3. Zaharieva, Anna, 2013. "Social welfare and wage inequality in search equilibrium with personal contacts," Labour Economics, Elsevier, vol. 23(C), pages 107-121.

    More about this item

    Keywords

    Social networks; referrals; on-the-job search; social capital; wage inequality;

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bie:wpaper:473. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Bettina Weingarten). General contact details of provider: http://edirc.repec.org/data/imbiede.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.