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Assessing School District Decision Making: In-Person Schooling and COVID-19 Transmission

Alvin Christian (), Brian Jacob () and John D. Singleton ()
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Alvin Christian: Department of Economics and Gerald R. Ford School of Public Policy University of Michigan Ann Arbor, MI 48109
Brian Jacob: Gerald R. Ford School of Public Policy University of Michigan Ann Arbor, MI 48109
John D. Singleton: Department of Economics University of Rochester Rochester, NY 14627

Education Finance and Policy, 2025, vol. 20, issue 2, 344-377

Abstract: Recent controversies have highlighted the importance of local school district governance, but little empirical evidence exists evaluating the quality of district policy makers or policies. In this paper, we take a novel approach to assessing school district decision making. We posit a model of rational decision making under uncertainty that emphasizes districts learning over time. We test the predictions from the model using data on a set of highly visible and consequential decisions facing school district leaders—the choice of learning mode during the 2020–21 school year. We find that district behavior is consistent with a Bayesian learning process in several key respects. Districts respond on the margin to health risks: All else equal, a marginal increase in new COVID-19 cases reduces the probability that a district offers in-person instruction the next week. This negative response is magnified when the district was in-person the prior week and attenuates in magnitude over the school year, suggesting that districts learn from experience about the effect of in-person learning on disease transmission in schools. We also find evidence that districts are influenced by the learning mode decisions of peer districts, but not their peers' experiences with in-person instruction and disease transmission, which implies that some important frictions exist.

Date: 2025
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https://doi.org/10.1162/edfp_a_00433

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