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The Impact of Teacher Training on Student Achievement: Quasi-Experimental Evidence from School Reform Efforts in Chicago

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  • Brian A. Jacob
  • Lars Lefgren

Abstract

While there is a substantial literature on the relationship between general teacher characteristics and student learning, school districts and states often rely on in-service teacher training as a part of school reform efforts. Recent school reform efforts in Chicago provide an opportunity to examine in-service training using a quasi-experimental research design. In this paper, we use a regression discontinuity strategy to estimate the effect of teacher training on the math and reading performance of elementary students. We find that marginal increases in-service training have no statistically or academically significant effect on either reading or math achievement, suggesting that modest investments in staff development may not be sufficient to increase the achievement of elementary school children in high poverty schools.

Suggested Citation

  • Brian A. Jacob & Lars Lefgren, 2002. "The Impact of Teacher Training on Student Achievement: Quasi-Experimental Evidence from School Reform Efforts in Chicago," NBER Working Papers 8916, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:8916
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    1. Richards, Craig E. & Sheu, Tian Ming, 1992. "The South Carolina school incentive reward program: A policy analysis," Economics of Education Review, Elsevier, vol. 11(1), pages 71-86, March.
    2. Angrist, Joshua D & Lavy, Victor, 2001. "Does Teacher Training Affect Pupil Learning? Evidence from Matched Comparisons in Jerusalem Public Schools," Journal of Labor Economics, University of Chicago Press, vol. 19(2), pages 343-369, April.
    3. Hanushek, Eric A., 2006. "School Resources," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 2, chapter 14, pages 865-908, Elsevier.
    4. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    5. repec:cdl:oplwec:qt2wj7v1j4 is not listed on IDEAS
    6. James J. Heckman & Edward J. Vytlacil, 2000. "Local Instrumental Variables," NBER Technical Working Papers 0252, National Bureau of Economic Research, Inc.
    7. Ladd, Helen F., 1999. "The Dallas school accountability and incentive program: an evaluation of its impacts on student outcomes," Economics of Education Review, Elsevier, vol. 18(1), pages 1-16, February.
    8. Jinyong Hahn & Petra Todd & Wilbert Van der Klaauw, 1999. "Evaluating the Effect of an Antidiscrimination Law Using a Regression-Discontinuity Design," NBER Working Papers 7131, National Bureau of Economic Research, Inc.
    9. Hanushek, Eric A. & Kain, John F. & Rivkin, Steven G., 2004. "Disruption versus Tiebout improvement: the costs and benefits of switching schools," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1721-1746, August.
    10. Jonathan Guryan, 2001. "Does Money Matter? Regression-Discontinuity Estimates from Education Finance Reform in Massachusetts," NBER Working Papers 8269, National Bureau of Economic Research, Inc.
    11. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 533-575.
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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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