Abstract

Class size reduction mandates are routinely justified by studies reporting positive effects on student achievement. Yet other studies report no effects, and the literature as a whole awaits correction for potential publication bias. Moreover, if identification drives results systematically, the relevance of individual studies will vary. We build a sample of 2,819 estimates collected from 66 studies and for each estimate classify 42 factors that reflect estimation context. We employ nonlinear techniques for publication bias correction and model averaging techniques to address model uncertainty. The results are consistent with little publication bias. The implied class size effect is negligible for all identification approaches except Tennessee's Student/Teacher Achievement Ratio project and for all contexts except classes of fewer than 15 students.

Funnel plot of the reported class-size effects
Fig: Little publication bias, most precise estimates around zero

Reference: Matej Opatrny, Tomas Havranek, Zuzana Irsova, Milan Scasny (2025), "Publication Bias and Model Uncertainty in Measuring the Effect of Class Size on Achievement." Journal of Labor Economics.

Headline result

Effect of class size on student achievement: the meta-analytic estimate is about 0 (except in the STAR experiment and classes under 15 students), based on 2,819 estimates from 66 studies (Opatrny et al. 2025, Journal of Labor Economics).

How to cite

Matej Opatrny, Tomas Havranek, Zuzana Irsova, Milan Scasny (2025), "Publication Bias and Model Uncertainty in Measuring the Effect of Class Size on Achievement." Journal of Labor Economics.

BibTeX
@article{opatrny2025class,
  author  = {Matej Opatrny and Tomas Havranek and Zuzana Irsova and Milan Scasny},
  title   = {Publication Bias and Model Uncertainty in Measuring the Effect of Class Size on Achievement},
  journal = {Journal of Labor Economics},
  year    = {2025},
  doi     = {10.1086/737989},
}