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Screening and Recruiting Talent At Teacher Colleges Using Pre-College Academic Achievement

Author

Listed:
  • Christopher Neilson

    (Princeton University and NBER)

  • Sebastian Gallegos

    (Inter-American Development Bank (IDB))

  • Franco Calle

    (Princeton University)

Abstract
This paper studies screening and recruiting policies that use pre-college academic achievement to restrict or incentivize entry to teacher-colleges. Using historical records of college entrance exam scores since 1967 and linking them to administrative data on the population of teachers in Chile, the paper first documents a robust positive and concave relationship between pre-college academic achievement and several short and long run measures of teacher productivity. We then evaluate the effectiveness of two policies that used pre-college achievement to recruit or screen out students entering teacher-colleges. Using a regression discontinuity design based on the government’s recruitment efforts, we evaluate the effectiveness of targeted scholarships at shifting career choices of high achieving students at the individual level as well as the effect on the overall stock of teachers predicted effectiveness. We then evaluate the effects of a recent screening policy that forces teacher colleges to exclude below-average students. We quantify the policies effectiveness by retroactively simulating the policy rule and evaluate its success at screening out low performing teachers and mistakenly high performing teachers. We compare this benchmark policy rule to a series of potential data-driven policy rules and we find that even simple screening policies can identify a significant portion of ex-post low performing teachers. In both policies studied, screening low performing students is more effective than targeting recruitment efforts to only very high achieving students. Taken together, these findings suggest that the combination of better administrative data and flexible prediction methods can be used to implement practical screening and recruiting policies in some contexts and allow for better targeting of investments in future teachers.

Suggested Citation

  • Christopher Neilson & Sebastian Gallegos & Franco Calle, 2019. "Screening and Recruiting Talent At Teacher Colleges Using Pre-College Academic Achievement," Working Papers 636, Princeton University, Department of Economics, Industrial Relations Section..
    • Handle: RePEc:pri:indrel:636
    as

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    References listed on IDEAS

    as
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    Cited by:

    1. Matteo Bobba & Tim Ederer & Gianmarco Leon-Ciliotta & Christopher A. Neilson & Marco Nieddu, 2021. "Teacher Compensation and Structural Inequality: Evidence from Centralized Teacher School Choice in Peru," Working Papers 648, Princeton University, Department of Economics, Industrial Relations Section..
    2. Hinrichs, Peter, 2021. "What kind of teachers are schools looking for? Evidence from a randomized field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 395-411.
    3. Adam Kapor & Mohit Karnani & Christopher Neilson, 2024. "Aftermarket Frictions and the Cost of Off-Platform Options in Centralized Assignment Mechanisms," Journal of Political Economy, University of Chicago Press, vol. 132(7), pages 2346-2395.
    4. Castro-Zarzur, Rosa & Espinoza, Ricardo & Sarzosa, Miguel, 2022. "Unintended consequences of free college: Self-selection into the teaching profession," Economics of Education Review, Elsevier, vol. 89(C).
    5. Christopher Neilson & Adam Kapor & Mohit Karnani, 2020. "Aftermarket Frictions and the Cost of Off-Platform Options in Centralized Assignment Mechanisms," Working Papers 635a, Princeton University, Department of Economics, Industrial Relations Section..
    6. Ricardo Estrada & María Lombardi, 2020. "Skills and Selection into Teaching: Evidence from Latin America," Department of Economics Working Papers wp_gob_2020_10, Universidad Torcuato Di Tella.

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    More about this item

    Keywords

    Chile;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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