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Stuck in the middle? Occupation-specific commute-wage trade-off at the metropolitan level

Author

Listed:
  • Maxime Liegey
  • Nathalie Picard

Abstract

This paper aims to contribute to the analysis of the impact of employees’ working conditions on union membership by specifically examining whether being exposed to job strain (or job iso-strain) increases the propensity to join unions. The study is based on data from the REPONSE survey, carried out in France in 2011. Two-level (individual / economic sector) logistic regression models are used to analyse the individual decision of union membership while accounting for sectoral effects. The results indicate that having a job with low or medium decision latitude (as opposed to high decision latitude) is associated with a higher probability of union membership. This latter effect is stronger when support from the hierarchy is low rather than high or medium. By contrast, the level of psychological demand does not seem to have any significant influence on unionisation. The link between job iso-strain (or a certain form of iso-strain) and union membership remains significant when the potential endogeneity of this factor is taken into account. These findings lend some support to theories like the frustration-aggression approach, which relates the union membership decision to work dissatisfaction and the desire of employees to change their working conditions.

Suggested Citation

  • Maxime Liegey & Nathalie Picard, 2024. "Stuck in the middle? Occupation-specific commute-wage trade-off at the metropolitan level," Working Papers of BETA 2024-11, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    • Handle: RePEc:ulp:sbbeta:2024-11
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    File URL: http://beta.u-strasbg.fr/WP/2024/2024-11.pdf
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    References listed on IDEAS

    as
    1. Ignacio A. Inoa & Nathalie Picard & Andr� de Palma, 2015. "Effect of an Accessibility Measure in a Model for Choice of Residential Location, Workplace, and Type of Employment," Mathematical Population Studies, Taylor & Francis Journals, vol. 22(1), pages 4-36, March.
    2. Le Barbanchon, Thomas & Rathelot, Roland & Roulet, Alexandra, 2020. "Gender Differences in Job Search: Trading off Commute Against Wage," CEPR Discussion Papers 15181, C.E.P.R. Discussion Papers.
    3. Stéphane Bonhomme & Kerstin Holzheu & Thibaut Lamadon & Elena Manresa & Magne Mogstad & Bradley Setzler, 2023. "How Much Should We Trust Estimates of Firm Effects and Worker Sorting?," Journal of Labor Economics, University of Chicago Press, vol. 41(2), pages 291-322.
    4. Donald R. Davis & Eric Mengus & Tomasz K. Michalski, 2020. "Labor Market Polarization and The Great Urban Divergence," NBER Working Papers 26955, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    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
    • J42 - Labor and Demographic Economics - - Particular Labor Markets - - - Monopsony; Segmented Labor Markets
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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