More than shortages: The unequal distribution of substitute teaching


Journal article


Jing Liu, Susanna Loeb, Ying Shi
Education Finance and Policy, vol. 17, MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info~…, 2022, pp. 285--308


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APA   Click to copy
Liu, J., Loeb, S., & Shi, Y. (2022). More than shortages: The unequal distribution of substitute teaching. Education Finance and Policy, 17, 285–308. https://doi.org/10.1162/edfp_a_00329


Chicago/Turabian   Click to copy
Liu, Jing, Susanna Loeb, and Ying Shi. “More than Shortages: The Unequal Distribution of Substitute Teaching.” Education Finance and Policy 17 (2022): 285–308.


MLA   Click to copy
Liu, Jing, et al. “More than Shortages: The Unequal Distribution of Substitute Teaching.” Education Finance and Policy, vol. 17, MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info~…, 2022, pp. 285–308, doi:10.1162/edfp_a_00329.


BibTeX   Click to copy

@article{liu2022a,
  title = {More than shortages: The unequal distribution of substitute teaching},
  year = {2022},
  journal = {Education Finance and Policy},
  pages = {285--308},
  publisher = {MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info~…},
  volume = {17},
  doi = {10.1162/edfp_a_00329},
  author = {Liu, Jing and Loeb, Susanna and Shi, Ying}
}

Classroom teachers in the United States are absent on average ap- proximately 6 percent of a school year. Despite the prevalence of teacher absences, surprisingly little research has assessed the key source of replacement instruction: substitute teachers. Using detailed administrative and survey data from a large urban school district, we document the prevalence, predictors, and distribution of substitute coverage across schools. Less advantaged schools systematically exhibit lower rates of substitute coverage compared with peer institutions. Observed school, teacher, and absence characteristics account for only part of this school variation. In contrast, substitute teachers’ preferences for specific schools, mainly driven by student behavior and support from teachers and school administrators, explain a sizable share of the unequal distribution of coverage rates above and beyond standard measures in administrative data. 


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