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The effect of Teach for America on the distribution of student achievement in primary school: Evidence from a randomized experiment

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  • Antecol, Heather
  • Eren, Ozkan
  • Ozbeklik, Serkan

Abstract

Using data from a randomized experiment and fixed effect quantile regression (FEQR), we examine the effects of having a TFA teacher on test scores across the entire achievement distribution of primary school students in disadvantaged neighborhoods. While we generally find that TFA teachers neither help nor hurt students in terms of reading test scores, we find positive and statistically significant effects of TFA across the math achievement distribution for the full sample and the effects are fairly uniform. We find a similar distributional effect of TFA within student gender, although the FEQR estimates for female students are two to three times larger than for male students. We also find that there is evidence of heterogeneity in the effects of TFA for Hispanic and black students and for students taught by novice teachers. Finally, we find that the effect of TFA is homogeneous across the math achievement distribution irrespective of certification type.

Suggested Citation

  • Antecol, Heather & Eren, Ozkan & Ozbeklik, Serkan, 2013. "The effect of Teach for America on the distribution of student achievement in primary school: Evidence from a randomized experiment," Economics of Education Review, Elsevier, vol. 37(C), pages 113-125.
  • Handle: RePEc:eee:ecoedu:v:37:y:2013:i:c:p:113-125
    DOI: 10.1016/j.econedurev.2013.08.004
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    Citations

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    Cited by:

    1. Fairlie Robert W., 2016. "Do Boys and Girls Use Computers Differently, and Does It Contribute to Why Boys do Worse in School Than Girls?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 16(1), pages 59-96, January.
    2. Heather Antecol & Ozkan Eren & Serkan Ozbeklik, 2015. "The Effect of Teacher Gender on Student Achievement in Primary School," Journal of Labor Economics, University of Chicago Press, vol. 33(1), pages 63-89.
    3. Kostas Mavromaras & Stephane Mahuteau & Kostas Mavromaras & Sue Richardson & Rong Zhu, 2017. "Public–Private Sector Wage Differentials in Australia," The Economic Record, The Economic Society of Australia, vol. 93, pages 105-121, June.
    4. Rebecca Allen & Jay Allnutt, 2013. "Matched panel data estimates of the impact of Teach First on school and departmental performance," DoQSS Working Papers 13-11, Quantitative Social Science - UCL Social Research Institute, University College London.
    5. Anja Deelen & Sonny Kuijpers, 2018. "Do paid teacher trainee programs lead to additional teachers in secondary education? A Regression Discontinuity Analysis," CPB Discussion Paper 374, CPB Netherlands Bureau for Economic Policy Analysis.
    6. Anja Deelen & Sonny Kuijpers, 2018. "Do paid teacher trainee programs lead to additional teachers in secondary education? A Regression Discontinuity Analysis," CPB Discussion Paper 374.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    7. Galina Besstremyannaya & Sergei Golovan, 2019. "Reconsideration of a simple approach to quantile regression for panel data: a comment on the Canay (2011) fixed effects estimator," Working Papers w0249, Center for Economic and Financial Research (CEFIR).
    8. Galina Besstremyannaya & Sergei Golovan, 2019. "Reconsideration of a simple approach to quantile regression for panel data: a comment on the Canay (2011) fixed effects estimator," Working Papers w0249, New Economic School (NES).

    More about this item

    Keywords

    Student achievement; Random assignment; Fixed effect quantile regression;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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