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Severance Pay Rules And Structural Layoff Decisions


  • Oliver Fabel


The paper develops a formal model of the optimal age-tenure structure in layoff decisions. Based on a linear Bayesian learning process a severance pay rule, which is derived from voluntary participation and separation conditions for individual workers, determines the dismissal costs. An optimal selection policy generally equalizes the expected profit contributions over the marginal workers retained in each age-group. Given plausible assumptions, the selection criteria and layoff rates for older workers decrease. However, the effect of tenure on selection and layoff rates remains ambiguous.

Suggested Citation

  • Oliver Fabel, 2002. "Severance Pay Rules And Structural Layoff Decisions," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 54(2), pages 118-135, April.
  • Handle: RePEc:sbr:abstra:v:54:y:2002:i:2:p:118-135

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    References listed on IDEAS

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    Cited by:

    1. Oliver Fabel & Martin Kolmar, 2007. "On 'Golden Parachutes' as Manager Discipline," TWI Research Paper Series 17, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    2. Christian Grund, 2006. "Severance payments for dismissed employees in Germany," European Journal of Law and Economics, Springer, vol. 22(1), pages 49-71, July.
    3. Christian Grund, 2004. "Severance Payments for Dismissed Employees Severance Payments for Dismissed Employees in Germany," Bonn Econ Discussion Papers bgse4_2004, University of Bonn, Germany.
    4. Christian Grund, 2006. "Overcompensation by severance payments," Applied Economics, Taylor & Francis Journals, vol. 38(8), pages 925-930.

    More about this item

    JEL classification:

    • J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness


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