From School to School: Examining the Contours of Within-Field Switching in the Special Education Teacher Labor Market

The United States faces growing teacher shortages, disproportionately impacting schools serving students of color, low-income students, and those in rural or urban areas. Special education teachers (SETs) are especially in demand. Nearly half of all teaching vacancies are filled by teachers switchin...

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Main Authors: Andrew Pendola, Frank Perrone
Format: Article
Language:English
Published: SAGE Publishing 2025-06-01
Series:AERA Open
Online Access:https://doi.org/10.1177/23328584251347941
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author Andrew Pendola
Frank Perrone
author_facet Andrew Pendola
Frank Perrone
author_sort Andrew Pendola
collection DOAJ
description The United States faces growing teacher shortages, disproportionately impacting schools serving students of color, low-income students, and those in rural or urban areas. Special education teachers (SETs) are especially in demand. Nearly half of all teaching vacancies are filled by teachers switching schools each year, yet little research explores switching, particularly by subject. Utilizing longitudinal data covering 27 years and over 1.2 million teachers in Texas, this study examines SET switching patterns relative to core subject teachers, utilizing discrete time hazard modeling, fixed-effect regressions, and geographic information system mapping. Results show that SETs switch schools at much higher rates, associated with experience, salary, and student demographics, yet generally transfer shorter distances than their peers. These findings highlight differential subject-specific labor market dynamics, suggesting targeted recruitment and retention strategies to address widespread shortages.
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series AERA Open
spelling doaj-art-27e3d261c7cc4e108df8dd4880ef45652025-08-20T03:27:18ZengSAGE PublishingAERA Open2332-85842025-06-011110.1177/23328584251347941From School to School: Examining the Contours of Within-Field Switching in the Special Education Teacher Labor MarketAndrew PendolaFrank PerroneThe United States faces growing teacher shortages, disproportionately impacting schools serving students of color, low-income students, and those in rural or urban areas. Special education teachers (SETs) are especially in demand. Nearly half of all teaching vacancies are filled by teachers switching schools each year, yet little research explores switching, particularly by subject. Utilizing longitudinal data covering 27 years and over 1.2 million teachers in Texas, this study examines SET switching patterns relative to core subject teachers, utilizing discrete time hazard modeling, fixed-effect regressions, and geographic information system mapping. Results show that SETs switch schools at much higher rates, associated with experience, salary, and student demographics, yet generally transfer shorter distances than their peers. These findings highlight differential subject-specific labor market dynamics, suggesting targeted recruitment and retention strategies to address widespread shortages.https://doi.org/10.1177/23328584251347941
spellingShingle Andrew Pendola
Frank Perrone
From School to School: Examining the Contours of Within-Field Switching in the Special Education Teacher Labor Market
AERA Open
title From School to School: Examining the Contours of Within-Field Switching in the Special Education Teacher Labor Market
title_full From School to School: Examining the Contours of Within-Field Switching in the Special Education Teacher Labor Market
title_fullStr From School to School: Examining the Contours of Within-Field Switching in the Special Education Teacher Labor Market
title_full_unstemmed From School to School: Examining the Contours of Within-Field Switching in the Special Education Teacher Labor Market
title_short From School to School: Examining the Contours of Within-Field Switching in the Special Education Teacher Labor Market
title_sort from school to school examining the contours of within field switching in the special education teacher labor market
url https://doi.org/10.1177/23328584251347941
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