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Professional Network and Career Coevolution

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  • Berardi, Nicoletta
  • Seabright, Paul

Abstract

This paper examines how networks of professional contacts contribute to the development of the careers of executives of European and US companies. We build a dynamic model of career progression in which career moves both depend upon existing networks and contribute to the development of future networks. We test the theory on an original dataset of nearly 7000 executives in over 3000 firms. We find evidence that professional networks are relevant both because valuable for the employer and because they facilitate job mobility. Our estimates of the elasticity of executives? salaries with respect to the size of their professional networks vary between around 5% and around 20% depending on the specification, with a point estimate under our preferred specification of 6.7%.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Berardi, Nicoletta & Seabright, Paul, 2011. "Professional Network and Career Coevolution," IDEI Working Papers 688, Institut d'Économie Industrielle (IDEI), Toulouse.
  • Handle: RePEc:ide:wpaper:25163
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    1. Kenneth J. Arrow & Ron Borzekowski, 2004. "Limited network connections and the distribution of wages," Finance and Economics Discussion Series 2004-41, Board of Governors of the Federal Reserve System (U.S.).
    2. Patrick Bayer & Stephen L. Ross & Giorgio Topa, 2008. "Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes," Journal of Political Economy, University of Chicago Press, vol. 116(6), pages 1150-1196, December.
    3. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    4. Antoni Calvó-Armengol & Matthew O. Jackson, 2004. "The Effects of Social Networks on Employment and Inequality," American Economic Review, American Economic Association, vol. 94(3), pages 426-454, June.
    5. John M. Abowd & Francis Kramarz & Sébastien Roux, 2006. "Wages, Mobility and Firm Performance: Advantages and Insights from Using Matched Worker-Firm Data," Economic Journal, Royal Economic Society, vol. 116(512), pages 245-285, June.
    6. Guido Friebel & Alexander Matros, 2005. "A note on CEO compensation, elimination tournaments and bankruptcy risk," Economics of Governance, Springer, vol. 6(2), pages 105-111, July.
    7. Lalanne, Marie & Seabright, Paul, 2011. "The Old Boy Network: Gender Differences in the Impact of Social Networks on Remuneration in Top Executive Jobs," IDEI Working Papers 689, Institut d'Économie Industrielle (IDEI), Toulouse.
    8. Yannis M. Ioannides & Linda Datcher Loury, 2004. "Job Information Networks, Neighborhood Effects, and Inequality," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1056-1093, December.
    9. Edward L. Glaeser & David Laibson & Bruce Sacerdote, 2002. "An Economic Approach to Social Capital," Economic Journal, Royal Economic Society, vol. 112(483), pages 437-458, November.
    10. 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.
    11. Nicoletta Berardi, 2013. "Social networks and wages in Senegal’s labor market," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-26, December.
    12. Weiss, Andrew & Landau, Henry J, 1984. "Wages, Hiring Standards, and Firm Size," Journal of Labor Economics, University of Chicago Press, vol. 2(4), pages 477-499, October.
    13. Carola Frydman & Dirk Jenter, 2010. "CEO Compensation," Annual Review of Financial Economics, Annual Reviews, vol. 2(1), pages 75-102, December.
    14. Samuel Bentolila & Claudio Michelacci & Javier Suarez, 2010. "Social Contacts and Occupational Choice," Economica, London School of Economics and Political Science, vol. 77(305), pages 20-45, January.
    15. Jensen, Michael C & Murphy, Kevin J, 1990. "Performance Pay and Top-Management Incentives," Journal of Political Economy, University of Chicago Press, vol. 98(2), pages 225-264, April.
    16. Lori A. Beaman, 2012. "Social Networks and the Dynamics of Labour Market Outcomes: Evidence from Refugees Resettled in the U.S," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(1), pages 128-161.
    17. Luigi Pistaferri, 1999. "Informal Networks in the Italian Labor Market," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 58(3-4), pages 355-375, December.
    18. 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.
    19. Kaivan Munshi, 2003. "Networks in the Modern Economy: Mexican Migrants in the U. S. Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(2), pages 549-599.
    20. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    21. Patacchini, Eleonora & Zenou, Yves, 2012. "Ethnic networks and employment outcomes," Regional Science and Urban Economics, Elsevier, vol. 42(6), pages 938-949.
    22. Murphy, Kevin J., 1999. "Executive compensation," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 38, pages 2485-2563, Elsevier.
    23. Conley, T.G. & Topa, G., 1999. "Socio-Economic Distance and Spatial Patterns in Unemployment," Working Papers 99-04, C.V. Starr Center for Applied Economics, New York University.
    24. Saloner, Garth, 1985. "Old Boy Networks as Screening Mechanisms," Journal of Labor Economics, University of Chicago Press, vol. 3(3), pages 255-267, July.
    25. 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.
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    Cited by:

    1. Lalanne, Marie & Seabright, Paul, 2011. "The Old Boy Network: Gender Differences in the Impact of Social Networks on Remuneration in Top Executive Jobs," IDEI Working Papers 689, Institut d'Économie Industrielle (IDEI), Toulouse.
    2. Lalanne, Marie & Seabright, Paul, 2016. "The old boy network: The impact of professional networks on remuneration in top executive jobs," SAFE Working Paper Series 123, Leibniz Institute for Financial Research SAFE.
    3. Clara Viñas-Bardolet & Joan Torrent-Sellens & Mònica Guillen-Royo, 2020. "Knowledge Workers and Job Satisfaction: Evidence from Europe," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(1), pages 256-280, March.

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    More about this item

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation

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