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The old boy network: The impact of professional networks on remuneration in top executive jobs

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  • Lalanne, Marie
  • Seabright, Paul

Abstract

We investigate the impact of social networks on earnings using a dataset of over 20,000 senior executives of European and US firms. The size of an individual's network of influential former colleagues has a large positive association with current remuneration. An individual at the 75th percentile in the distribution of connections could expect to have a salary nearly 20 per cent higher than an otherwise identical individual at the median. We use a placebo technique to show that our estimates reflect the causal impact of connections and not merely unobserved individual characteristics. Networks are more weakly associated with women's remuneration than with men's. This mainly reflects an interaction between unobserved individual characteristics and firm recruitment policies. The kinds of firm that best identify and advance talented women are less likely to give them access to influential networks than are firms that do the same for the most talented men.

Suggested Citation

  • 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.
  • Handle: RePEc:zbw:safewp:123
    DOI: 10.2139/ssrn.2717988
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    Cited by:

    1. Friebel, Guido & Lalanne, Marie & Richter, Bernard & Schwardmann, Peter & Seabright, Paul, 2021. "Gender differences in social interactions," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 33-45.
    2. Lukas Bolte & Nicole Immorlica & Matthew O. Jackson, 2020. "The Role of Referrals in Immobility, Inequality, and Inefficiency in Labor Markets," Papers 2012.15753, arXiv.org.
    3. Berardi, Nicoletta & Lalanne, Marie & Seabright, Paul, 2018. "Professional networks and their coevolution with executive careers: Evidence from North America and Europe," SAFE Working Paper Series 243, Leibniz Institute for Financial Research SAFE.
    4. Mitri Kitti & Matti Pihlava & Hannu Salonen, 2016. "Search in Networks: The Case of Board Interlocks," Discussion Papers 116, Aboa Centre for Economics.
    5. Mackenzie Alston, 2023. "Eliminating discrimination in hiring isn’t enough," IZA World of Labor, Institute of Labor Economics (IZA), pages 508-508, May.
    6. Levati, Lorenzo Maria & Lalanne, Marie, 2020. "The impact of job referrals on employment outcomes in top corporate positions," SAFE Working Paper Series 268, Leibniz Institute for Financial Research SAFE.
    7. Friebel, Guido & Lalanne, Marie & Richter, Bernard & Schwardmann, Peter & Seabright, Paul, 2017. "Women form social networks more selectively and less opportunistically than men," SAFE Working Paper Series 168, Leibniz Institute for Financial Research SAFE.
    8. Swati Sharma, 2021. "Gender and workplace interactions: who is likely to lose?," IEG Working Papers 426, Institute of Economic Growth.
    9. Nicoletta Berardi & Marie Lalanne & Paul Seabright, 2019. "Professional Networks and their Coevolution with Executive Careers," Working papers 723, Banque de France.
    10. Afridi, Farzana & Dhillon, Amrita, 2022. "Social Networks and the Labour Market," IZA Discussion Papers 15774, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    professional networks; gender wage gap; executive compensation; placebo technique;
    All these keywords.

    JEL classification:

    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods

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