IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04793195.html

Wage dynamics and peer referrals

Author

Listed:
  • Vincent Boucher
  • Marion Goussé

    (CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - Groupe ENSAE-ENSAI - Groupe des Écoles Nationales d'Économie et Statistique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - Groupe ENSAE-ENSAI - Groupe des Écoles Nationales d'Économie et Statistique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique, ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - Groupe ENSAE-ENSAI - Groupe des Écoles Nationales d'Économie et Statistique, CREST - Centre de Recherche en Economie et Statistique [Bruz] - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - Groupe ENSAE-ENSAI - Groupe des Écoles Nationales d'Économie et Statistique)

Abstract

We present a flexible model of wage dynamics where information about job openings is transmitted through social networks. The model is based on Calvó-Armengol & Jackson (2004, 2007) and extends their results outside the stationary distribution, and under observed and unobserved heterogeneity. We present an empirical application using the British Household Panel Survey by exploiting direct information about individual’s social networks. We find that the distribution of job offers is positively affected by the employment status of an individual’s friends, and that this relationship is stronger for women.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Vincent Boucher & Marion Goussé, 2019. "Wage dynamics and peer referrals," Post-Print hal-04793195, HAL.
    • Handle: RePEc:hal:journl:hal-04793195
    DOI: 10.1016/j.red.2018.12.001
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Albrecht Glitz & Rune Vejlin, 2021. "Learning through Coworker Referrals," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 42, pages 37-71, October.
    2. Engdahl, Mattias & Willis, Sébastien & Åslund, Olof, 2024. "Professional networks and the labour market assimilation of immigrants," Working Paper Series 2024:9, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    3. Sébastien Willis, 2022. "Workplace Segregation and the Labour Market Performance of Immigrants," CESifo Working Paper Series 9895, CESifo.
    4. Willis, Sébastien, 2025. "Workplace segregation and the labour market performance of immigrants," Labour Economics, Elsevier, vol. 93(C).
    5. Boucher, Vincent & Dedewanou, F. Antoine & Dufays, Arnaud, 2022. "Peer-induced beliefs regarding college participation," Economics of Education Review, Elsevier, vol. 90(C).

    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J46 - Labor and Demographic Economics - - Particular Labor Markets - - - Informal Labor Market

    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:hal:journl:hal-04793195. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.