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Defining the Labor Market of Principals in Texas: The Relationship Between Turnover and Selection

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  • Pendola, Andrew

    (Auburn University)

Abstract

Utilizing a dataset that includes more than 17,000 principals over 17 years, we employ discrete time hazard modeling and heckit regressions to identify characteristics that simultaneously explain principal turnover and selection. We then construct a framework comparing the two dimensions of stability and mobility to identify how features such as race and student achievement can help explain sites of frequent principal turnover risk. We find certain characteristics—such as experience with low performing schools—combine to increase the likelihood of both turnover and selection, while other characteristics—such as salary—increase stability but reduce mobility. Results demonstrate which combinations of features may explain higher likelihood of frequent turnover, and further help to identify systematic trends in principal hiring to better understand where policy interventions may be leveraged.

Suggested Citation

  • Pendola, Andrew, 2022. "Defining the Labor Market of Principals in Texas: The Relationship Between Turnover and Selection," SocArXiv 7jzak_v1, Center for Open Science.
    • Handle: RePEc:osf:socarx:7jzak_v1
    DOI: 10.31219/osf.io/7jzak_v1
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