IDEAS home Printed from https://ideas.repec.org/p/crs/wpaper/2010-42.html
   My bibliography  Save this paper

Getting a Job in Finance-The Strength of Collaboration Ties

Author

Listed:
  • Olivier Godechot

    (Crest)

Abstract

Since the seminal papers of Mark Granovetter, Getting a Job and ‘The Strength of Weak Ties’, ithas been acknowledged that contacts are a valuable way of getting a job, and that weak ties aremore efficient than strong ties because the former convey more original information than thelatter. We would like to challenge this overemphasizing focus of network sociology oninformation. We first return to Granovetter’s empirical work and show that the ‘weak ties’ thatseem more helpful for getting jobs are generally former colleagues. One reason for this feature isnot that former colleagues increase ego’s information but rather that they value the pursuit ofpast collaboration. We examine then the consequence of collaboration ties hypothesis in thefinancial industry labor market. Based on results of previous research, we explain whycollaboration ties may be so valuable. In finance, the labor market values the assets that financialoperatives take with them from one firm to another, such as knowledge, know-how andcustomers. Since assets are to a certain extent shared among co-workers, it is worth hiringbusiness relations, former colleagues or moving in teams: it enables a better transfer of assetssuch as idiosyncratic working routines, distributed knowledge, or joint customers. Todemonstrate our claims we rely on an online survey launched with eFinancialCareers.fr collected in09/2008 among French financial employees (n=995). This questionnaire shows that working incore finance favors the accumulation of moveable key assets on the one hand and ofcollaboration ties on the other hand, ie that collaboration ties and moveable key assets arestrongly correlated. The moving of key assets, collaboration ties and notably the combination ofthose two dimensions all increases wages. Although firms try to secure key workers holding suchadvantages through contractual devices, those strategies fail since many employees, in order toremain in contact with those attractors, facilitate rather than prevent such movement. Finally thispaper suggests that the real firm is maybe not the formal firm itself but rather resides betweenfirms in the networks of collaboration ties formed by employees who are mobile.2Since the seminal works of Mark Granovetter, Getting a Job (1974) and ‘The Strength of WeakTies’ (1973), research in social science has been increasingly emphasizing the uniquelyinformational dimension of networks in job search and job mobility. Theoretically the weak tiesversus strong ties argument has been simplified into a more structural approach, with the alternatediversified versus redundant ties, implied by the structural hole argument (Burt, 1992). Thereforecontacts are viewed mainly, if not exclusively, especially in economic models, as informationprocessors passing on to ego, at a rate depending on the network structure, new informationabout job vacancies (Boorman, 1975; Montgomery, 1992; Ioannides and Datcher Loury, 2004).Thus contacts play the benevolent role of job agencies or that of head-hunters providingpotential employers and employees with valuable trustworthy information (Finlay and Coverdill,2002; Lin, 2001). Nevertheless, empirical research on the value of the informational networkprovided mixed results (Granovetter, 1983, 1995, 2005; Lin, 1999; Ioannides and Datcher Loury,2004). Several studies find a correlation between weak ties and final status or wage, but one thatappears to be mediated through a third variable such as the status of the contact (Lin et al, 1981;Wegener, 1991). Other studies based on a nation-wide sample find no clear relationship betweenthe strength of ties and pay (Bridges and Villemez, 1986; Mouw, 2003). This overemphasis oninformation has been also challenged by research that claims that strong ties can also be helpful,for different reasons than weak ties, because strong ties, although providing possibly less originalinformation, might be more likely to support and to influence the decision-makers (Bian, 1997;Yakubovich, 2005). We might have two mechanisms working in parallel, informing weak ties andsupporting strong ties, producing a rather undetermined relationship between strength of ties andvalue of the job.Nevertheless, both approaches are similar in the way they view contacts in the context ofchanging job. They both fail to link job-searching periods and working periods. The typicalsituation involves an unemployed person or a person unhappy at work, who is trying to find anew job and who is asking contacts either for information or for support (or both). In thisscenario, contacts, although they may be willing to help, remain more or less indifferent to thefirm where ego will find a job. They give information because giving information is not verycostly and they can expect information in return or they are helping someone with whom theyhave some bond and they can expect some kind of future reciprocity. This type of approach doesnot enable us to understand why the contact is so often a work contact, such as a formercolleague or a former client, who moreover frequently holds in part, if not totally, the power torecruit (Granovetter, 1974; Bridges and Villemez, 1986; Yakubovich, 2005). Work ties such asformer colleagues are generally classified as weak ties. This statement is correct if we measure itby emotional intensity, but it can be challenged if we measure it by the amount of time spentwhen ego and contact worked together. But classifying work contacts in weak/strong tie termsobscures the fact that work contacts cannot be seen as independent from the object of the quest.In such cases of help as when a former colleague helps to hire a former colleague, what is at stakeis nothing less than the pursuit of a fruitful work-collaboration. It is therefore not surprising tosee that in Bridges and Villemez (1986) the distinction between work and communal ties is morerelevant that the classical weak/strong ties in order to explain wages and that its effect issignificant at least for an important subsample such as Manager-Professional-Technical workers.The financial industry is a good observatory for studying the impact of collaboration ties. Asregards the importance of network and social ties, finance offers the media two conflictingimages: one of a world of selfishness and of great solitude, and another of a closed network ofclosely-bound insiders. A way of reconciling these two views is to see that finance is structurednot by strong emotional ties but by highly-structured collaboration ties that studies deemimportant for success (Roth, 2006; Burt, 1997). Finance is also a sector where pay and inequalitieshave been rising tremendously, benefiting from a wage premium that remains unexplained(Philippon, Resheff, 2009; Kaplan, Rauh, 2009). In previous work (Godechot, 2007, 2008a), weargue that those wages were due to financial operatives’ ability to commit a hold-up, that is tothreaten efficiently the firm to move the firm’s key assets to a competitor. Within our frameworksuch assets as knowledge, technology and clients are appropriated by financial employees and3multiplied by collaboration ties, leading to some spectacular team moves (Godechot, 2008a,2008b). This paper intends to strengthen the theoretical link between moveable assets andcollaboration ties and to offer a statistical exploration of its importance based on data from aneFinancialCareers.fr online survey collected in September 2008.The paper is organized as follows. In the initial section, we first revisit Granovetter’s empiricalwork and show that below weak ties we very often have collaboration ties. We then develop atheoretical framework that, in finance, links the importance of collaboration ties with theappropriation of key moveable assets. The third section presents the questionnaire on jobmobility in the financial industry, and the main variables. We confirm in the fourth section ourhypothesis linking moveable assets and collaboration ties, and those related dimensions to a jobposition at the core of financial markets and to higher wages. The fifth section shows that thecombination of moveable assets and collaboration ties also helps to circumvent the contractualdevices that try to restrain turn-over. In the final discussion section, we analyze howcollaboration ties may challenge the traditional way of viewing the nature of the firm in finance,and consider how they are related to classical measures of network structure.

Suggested Citation

  • Olivier Godechot, 2010. "Getting a Job in Finance-The Strength of Collaboration Ties," Working Papers 2010-42, Center for Research in Economics and Statistics.
  • Handle: RePEc:crs:wpaper:2010-42
    as

    Download full text from publisher

    File URL: http://crest.science/RePEc/wpstorage/2010-42.pdf
    File Function: Crest working paper version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Thomas Philippon & Ariell Reshef, 2009. "Wages and Human Capital in the U.S. Financial Industry: 1909-2006," NBER Working Papers 14644, National Bureau of Economic Research, Inc.
    2. Christie, William G & Schultz, Paul H, 1994. "Why Do NASDAQ Market Makers Avoid Odd-Eighth Quotes?," Journal of Finance, American Finance Association, vol. 49(5), pages 1813-1840, December.
    3. Michael Kremer, 1993. "The O-Ring Theory of Economic Development," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 551-575.
    4. Raghuram G. Rajan & Luigi Zingales, 2001. "The Firm as a Dedicated Hierarchy: A Theory of the Origins and Growth of Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(3), pages 805-851.
    5. Eve Chiapello, 2006. "Capitalism," Post-Print halshs-00009868, HAL.
    6. 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.
    7. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    8. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    9. Scott A. Boorman, 1975. "A Combinatorial Optimization Model for Transmission of Job Information through Contact Networks," Bell Journal of Economics, The RAND Corporation, vol. 6(1), pages 216-249, Spring.
    10. Daniel Beunza & David Stark, 2004. "Tools of the trade: the socio-technology of arbitrage in a Wall Street trading room," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 13(2), pages 369-400, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:hal:spmain:info:hdl:2441/6vv3rctml482bahdmet5ddnt8d is not listed on IDEAS
    2. Jarle Moen, 2005. "Is Mobility of Technical Personnel a Source of R&D Spillovers?," Journal of Labor Economics, University of Chicago Press, vol. 23(1), pages 81-114, January.
    3. Patrick Kampkoetter, 2012. "Determinants of Compensation in the Financial Services Industry," Cologne Graduate School Working Paper Series 03-12, Cologne Graduate School in Management, Economics and Social Sciences.
    4. Asuyama, Yoko, 2015. "Skill sorting and production chains : evidence from India," IDE Discussion Papers 545, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    5. Chiswick, Barry R. & Wang, Zhiling, 2019. "Social Contacts, Dutch Language Proficiency and Immigrant Economic Performance in the Netherlands," GLO Discussion Paper Series 419, Global Labor Organization (GLO).
    6. Liu, Meijun & Hu, Xiao, 2021. "Will collaborators make scientists move? A Generalized Propensity Score analysis," Journal of Informetrics, Elsevier, vol. 15(1).
    7. David Neumark, 2016. "Experimental Research on Labor Market Discrimination," NBER Working Papers 22022, National Bureau of Economic Research, Inc.
    8. Rossi,Federico, 2018. "Human Capital and Macro-Economic Development : A Review of the Evidence," Policy Research Working Paper Series 8650, The World Bank.
    9. Kekezi, Orsa, 2021. "Diversity of experience and labor productivity in creative industries," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-18.
    10. Tamura, Robert, 2006. "Human capital and economic development," Journal of Development Economics, Elsevier, vol. 79(1), pages 26-72, February.
    11. Jovanovic, Boyan & Nyarko, Yaw, 1997. "Stepping-stone mobility," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 46(1), pages 289-325, June.
    12. Zhiling Wang & Thomas de Graaff & Peter Nijkamp, 2018. "Barriers of Culture, Networks, and Language in International Migration: A Review," REGION, European Regional Science Association, vol. 5, pages 73-89.
    13. Mellander, Charlotta & Stolarick, Kevin & Lobo, José, 2014. "Distinguishing Neighborhood and Workplace Effects on Individual Productivity: Evidence from Sweden," Working Paper Series in Economics and Institutions of Innovation 386, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    14. Benjamin F. Jones, 2014. "The Human Capital Stock: A Generalized Approach," American Economic Review, American Economic Association, vol. 104(11), pages 3752-3777, November.
    15. Cohen, Daniel & Causa, Orsetta, 2006. "Industrial Productivity in 51 Countries, Rich and Poor," CEPR Discussion Papers 5549, C.E.P.R. Discussion Papers.
    16. Derek Neal & Sherwin Rosen, 1998. "Theories of the Distribution of Labor Earnings," NBER Working Papers 6378, National Bureau of Economic Research, Inc.
    17. Nico Voigtlaender & Diego Saravia, 2013. "Imported Inputs, Quality Complementarity, and Skill Demand," 2013 Meeting Papers 699, Society for Economic Dynamics.
    18. Ponzo, Michela & Scoppa, Vincenzo, 2010. "The use of informal networks in Italy: Efficiency or favoritism?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 39(1), pages 89-99, January.
    19. Lara Lebedinski & Vincent Vandenberghe, 2014. "Assessing education’s contribution to productivity using firm-level evidence," International Journal of Manpower, Emerald Group Publishing Limited, vol. 35(8), pages 1116-1139, October.
    20. Gersbach, Hans & Schmutzler, Armin, 2001. "A Product Market Theory of Worker Training," IZA Discussion Papers 327, Institute of Labor Economics (IZA).
    21. Werner, Arndt & Moog, Petra, 2009. "Why do Employees Leave Their Jobs for Self-Employment? – The Impact of Entrepreneurial Working Conditions in Small Firms," MPRA Paper 18826, University Library of Munich, Germany.

    More about this item

    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:crs:wpaper:2010-42. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Secretariat General (email available below). General contact details of provider: https://edirc.repec.org/data/crestfr.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.