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Using Samples-of-Opportunity to Assess Gender Bias in Principal Evaluations of Teachers: A Cautionary Tale

Author

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  • David Bjerk

    (Claremont McKenna College)

  • Serkan Ozbeklik

    (Claremont McKenna College)

Abstract

This paper uses two “samples-of-opportunity” datasets to examine whether principal evaluations of teachers differ systematically across genders after controlling for arguably gender unbiased measures of teacher productivity---namely value-added student test scores calculated relative to other teachers in the same grade/school (where teachers are randomly allocated to classrooms within the same grade/school). While the two datasets appear to be quite similar in nature, both were samples-of-opportunity in that they were not representative of any particular population. Our findings differ substantially across datasets. This exercise reveals how results in the education and discrimination literature may be sensitive to the sample used.

Suggested Citation

  • David Bjerk & Serkan Ozbeklik, 2018. "Using Samples-of-Opportunity to Assess Gender Bias in Principal Evaluations of Teachers: A Cautionary Tale," Journal of Labor Research, Springer, vol. 39(3), pages 235-258, September.
  • Handle: RePEc:spr:jlabre:v:39:y:2018:i:3:d:10.1007_s12122-018-9271-1
    DOI: 10.1007/s12122-018-9271-1
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    References listed on IDEAS

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    1. Nicolás Urdaneta Andrade, 2021. "¿Hombres "cracks" y mujeres "amables"? Sesgos de género en encuestas de profesores," Documentos CEDE 19557, Universidad de los Andes, Facultad de Economía, CEDE.

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    More about this item

    Keywords

    Discrimination; Teacher quality; Principal ratings; External validity;
    All these keywords.

    JEL classification:

    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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