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Does Teacher‐Family Experience Affect Test Scores?

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  • Javaeria Qureshi
  • Ben Ost

Abstract

Since families play a pivotal role in elementary schools, student learning may be influenced by how well the teacher knows a family and how well the parents know the teacher. We test this hypothesis by evaluating whether assignment to a teacher who has previously taught an older sibling affects test scores. We refer to teachers who have previously taught the older sibling as having “teacher‐family experience” when teaching the younger sibling. Using a novel data set that includes administrative data on students and teachers matched to family identifiers, we find that when the older sibling's teacher is teaching in the younger sibling's grade, 40% of younger siblings are assigned their older sibling teachers. We find that teacher‐family experience does not have any significant effects on test scores and we can statistically rule out small effects. (JEL I20)

Suggested Citation

  • Javaeria Qureshi & Ben Ost, 2019. "Does Teacher‐Family Experience Affect Test Scores?," Contemporary Economic Policy, Western Economic Association International, vol. 37(3), pages 509-523, July.
  • Handle: RePEc:bla:coecpo:v:37:y:2019:i:3:p:509-523
    DOI: 10.1111/coep.12402
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    References listed on IDEAS

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    1. Rothstein , Jesse, 2017. "Revisiting the Impacts of Teachers," Department of Economics, Working Paper Series qt5gq4j7kq, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    2. Jesse Rothstein, 2010. "Teacher Quality in Educational Production: Tracking, Decay, and Student Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 175-214.
    3. C. Kirabo Jackson, 2013. "Match Quality, Worker Productivity, and Worker Mobility: Direct Evidence from Teachers," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1096-1116, October.
    4. Brian A. Jacob & Lars Lefgren, 2007. "What Do Parents Value in Education? An Empirical Investigation of Parents' Revealed Preferences for Teachers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1603-1637.
    5. Hill, Andrew J. & Jones, Daniel B., 2018. "A teacher who knows me: The academic benefits of repeat student-teacher matches," Economics of Education Review, Elsevier, vol. 64(C), pages 1-12.
    6. Ben Ost, 2014. "How Do Teachers Improve? The Relative Importance of Specific and General Human Capital," American Economic Journal: Applied Economics, American Economic Association, vol. 6(2), pages 127-151, April.
    7. Josh Kinsler, 2012. "Assessing Rothstein's critique of teacher value‐added models," Quantitative Economics, Econometric Society, vol. 3(2), pages 333-362, July.
    8. Cook, Jason B. & Mansfield, Richard K., 2016. "Task-specific experience and task-specific talent: Decomposing the productivity of high school teachers," Journal of Public Economics, Elsevier, vol. 140(C), pages 51-72.
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    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General

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