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De la discrimination statistique à la discrimination positive

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  • Maxime Parodi

    (OFCE - Observatoire français des conjonctures économiques (Sciences Po) - Sciences Po - Sciences Po)

Abstract

Statistical discrimination is the rejection of an individual because of some defects – observed or believed – on the aggregate characteristics of his group. Unlike negative discrimination, the rejection does not rely on prejudice or racial or gender bias, but on a probabilistic inference about some decisive characteristic. It is a rational motive, but this rational does not say the entire story: to reject supposes not only to evaluate probabilities, but also to choose some risks and this cannot be done without practical considerations. The rationality of discrimination lies then on a context-dependant reasoning which could not be underestimated. It appears then that the lack of individual information could also justify a reasonable bet like positive discrimination or affirmative action.

Suggested Citation

  • Maxime Parodi, 2010. "De la discrimination statistique à la discrimination positive," Post-Print hal-03460120, HAL.
    • Handle: RePEc:hal:journl:hal-03460120
    DOI: 10.3917/reof.112.0063
    Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-03460120
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    References listed on IDEAS

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    1. Rothschild, Michael & Stiglitz, Joseph E., 1982. "A model of employment outcomes illustrating the effect of the structure of information on the level and distribution of income," Economics Letters, Elsevier, vol. 10(3-4), pages 231-236.
    2. Lundberg, Shelly J & Startz, Richard, 1983. "Private Discrimination and Social Intervention in Competitive Labor Markets," American Economic Review, American Economic Association, vol. 73(3), pages 340-347, June.
    3. Phelps, Edmund S, 1972. "The Statistical Theory of Racism and Sexism," American Economic Review, American Economic Association, vol. 62(4), pages 659-661, September.
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    Keywords

    Discrimination statistique; Rationalité;

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