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Staffing a Low-Performing School: Behavioral Responses to Selective Teacher Transfer Incentives

Listed author(s):
  • Ali Protik

    ()

    (Mathematica Policy Research, Providence, Washington, DC)

  • Steven Glazerman

    ()

    (Mathematica Policy Research, Providence, Washington, DC)

  • Julie Bruch

    ()

    (Mathematica Policy Research, Providence, Washington, DC)

  • Bing-ru Teh

    ()

    (Mathematica Policy Research, Providence, Washington, DC)

We examine behavioral responses to an incentive program that offers high-performing teachers in ten school districts across the country $20,000 to transfer into the district’s hardest-to-staff schools. We discuss behavioral responses to the program on high-performing teachers’ willingness to transfer (supply) and the effect of the transfer offer on the internal dynamics of the receiving schools (demand). We found low take-up rates among the 1,514 high-performing teachers who were offered the incentive, with minimal sorting on observable characteristics. Within the new schools, transfer teachers were less likely than their counterparts in a randomized control group to require mentoring and more likely to provide mentoring themselves. No significant differences occurred in school climate, collegiality, or the way in which students were assigned to teachers, but evidence indicates that principals may have strategically assigned existing teachers to grades in both treatment and control schools in response to the quality of the incoming teachers.

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File URL: http://www.mitpressjournals.org/doi/pdf/10.1162/EDFP_a_00171
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Article provided by MIT Press in its journal Education Finance and Policy.

Volume (Year): 10 (2015)
Issue (Month): 4 (October)
Pages: 573-610

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Handle: RePEc:tpr:edfpol:v:10:y:2015:i:4:p:573-610
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  9. Steven Glazerman & Ali Protik & Bing-ru Teh & Julie Bruch & Jeffrey Max, 2013. "Transfer Incentives for High-Performing Teachers: Final Results from a Multisite Randomized Experiment," Mathematica Policy Research Reports 4269bc8810414c8a8f64d3c36, Mathematica Policy Research.
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  20. repec:mpr:mprres:6941 is not listed on IDEAS
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