Regulatory arbitrage in teacher hiring and retention: Evidence from Massachusetts Charter Schools

Bruhn, Jesse; Imberman, Scott A.; Winters, Marcus A.

doi:10.1016/j.jpubeco.2022.104750

Cited by 2 publications

(1 citation statement)

References 67 publications

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“…Novice BPS teachers who hold a master's degree earned $65,210 in 2018/2019 and teachers in their ninth year earned $106,637. Recent research by Bruhn et al (2022) also demonstrated that, in part due to higher pay potential and limits on working hours, more teachers move from local charters to BPS than the other way around. Third, interviews with human resources officers in eight districts surrounding BPS suggest that these districts largely operate on a traditional hiring cycle during the summer due to delayed budget approval processes and the common occurrence of teacher resignations occurring late in the summer.…”

Section: Data and Settingmentioning

confidence: 99%

Local supply, temporal dynamics, and unrealized potential in teacher hiring

James¹,

Kraft

Papay

2023

J Policy Anal Manage

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We explore the dynamics of competitive search in the K–12 public education sector. Using detailed panel data on teacher hiring from Boston Public Schools, we document how teacher labor supply varies substantially across vacancies even within a single district depending on position type, school characteristics, and the timing of job postings. We find that early‐posted positions are more likely to be filled and end up securing new hires that are better qualified, more effective, and more likely to remain at a school. In contrast, the number of applicants to a position is largely unassociated with hire quality, suggesting that schools may struggle to identify and select the best candidates even when there is a large pool of qualified applicants. These patterns persist even when we restrict comparisons to only positions within an individual school using school fixed effects. Our findings point to substantial unrealized potential for improving teacher hiring.

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Section: Data and Settingmentioning

confidence: 99%