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The Peter Principle: An Experiment

Author

Listed:
  • David Dickinson

    (Department of Economics - Appalachian State University - UNC - University of North Carolina System)

  • Marie Claire Villeval

    (GATE - Groupe d'analyse et de théorie économique - UL2 - Université Lumière - Lyon 2 - ENS LSH - Ecole Normale Supérieure-Lettres et Sciences Humaines - CNRS - Centre National de la Recherche Scientifique)

Abstract

The Peter Principle states that, after a promotion, the observed output of promoted employees tends to fall. Lazear (2004) models this principle as resulting from a regression to the mean of the transitory component of ability. Our experiment reproduces this model in the laboratory by means of various treatments in which we alter the variance of the transitory ability. We also compare the efficiency of an exogenous promotion standard with a treatment where subjects self-select their task. Our evidence confirms the Peter Principle when the variance of the transitory ability is large. In most cases, the efficiency of job allocation is higher when using a promotion rule than when employees are allowed to self-select their task. This is likely due to subjects' bias regarding their transitory ability. Naïve thinking, more than optimism/pessimism bias, may explain why subjects do not distort their effort prior to promotion, contrary to Lazear's (2004) prediction.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • David Dickinson & Marie Claire Villeval, 2007. "The Peter Principle: An Experiment," Post-Print halshs-00175434, HAL.
  • Handle: RePEc:hal:journl:halshs-00175434
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    Cited by:

    1. Pluchino, Alessandro & Rapisarda, Andrea & Garofalo, Cesare, 2010. "The Peter principle revisited: A computational study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 467-472.
    2. Pawel Sobkowicz, 2010. "Dilbert-Peter Model of Organization Effectiveness: Computer Simulations," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(4), pages 1-4.

    More about this item

    Keywords

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    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects

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