Teacher bias or measurement error?

Thomas van Huizen, Madelon Jacobs, Matthijs Oosterveen

Research output: Working paper / PreprintWorking paper

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Abstract

In many countries, teachers’ track recommendations are used to allocate students to secondary school tracks. Previous studies have shown that students from families with low socioeconomic status (SES) receive lower track recommendations than their peers from high SES families, conditional on standardized test scores. It is often argued that this indicates teacher bias. However, this claim is invalid in the presence of measurement error in test scores. We discuss how measurement error in test scores generates a biased coefficient of the conditional SES gap, and consider three empirical strategies to address this bias. Using administrative data from the Netherlands, we find that measurement error explains 35 to 43% of the conditional SES gap in track recommendations
Original languageEnglish
PublisherCornell University - arXiv
Number of pages40
DOIs
Publication statusPublished - 19 Feb 2024

Publication series

SeriesarXiv.org
Number2401.04200
ISSN2331-8422

JEL classifications

  • i24 - Education and Inequality
  • c36 - Multiple or Simultaneous Equation Models: Instrumental Variables (IV) Estimation

Keywords

  • Teacher evaluation
  • Track recommendation
  • Measurement error
  • Instrumental variables
  • Errors-in-variables

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