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A regression discontinuity analysis of graduation standards and their impact on students’ academic trajectories

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  • Ahn, Tom
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Abstract

In 2006, North Carolina put in place high school exit standards requiring students to pass a series of high-stakes exams across several years. I use a regression discontinuity (RD) approach to analyze whether passing or failing one of these exams (Algebra I) impacts a student's decision between choosing a more rigorous college-preparatory math curriculum and an easier ‘career’ track math curriculum. I find a 5 percentage point gap in the probability of selecting the rigorous curriculum between 9th grade students who just passed and those who just failed the exam. RD results across two years (one year in which the graduation standards were not in place) suggest that the discontinuity arose due to fewer students opting into the college track as a result of the exam results.

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Bibliographic Info

Article provided by Elsevier in its journal Economics of Education Review.

Volume (Year): 38 (2014)
Issue (Month): C ()
Pages: 64-75

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Handle: RePEc:eee:ecoedu:v:38:y:2014:i:c:p:64-75

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Web page: http://www.elsevier.com/locate/econedurev

Related research

Keywords: Exit standards; Academic trajectory; Regression discontinuity;

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  1. Matsudaira, Jordan D., 2008. "Mandatory summer school and student achievement," Journal of Econometrics, Elsevier, vol. 142(2), pages 829-850, February.
  2. Bishop, John H. & Mane, Ferran, 2001. "The impacts of minimum competency exam graduation requirements on high school graduation, college attendance and early labor market success," Labour Economics, Elsevier, vol. 8(2), pages 203-222, May.
  3. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
  4. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," Review of Economic Studies, Oxford University Press, vol. 79(3), pages 933-959.
  5. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-09, January.
  6. Ou, Dongshu, 2010. "To leave or not to leave? A regression discontinuity analysis of the impact of failing the high school exit exam," Economics of Education Review, Elsevier, vol. 29(2), pages 171-186, April.
  7. John P. Papay & John B. Willett & Richard J. Murnane, 2011. "High-School Exit Examinations and the Schooling Decisions of Teenagers: A Multi-Dimensional Regression-Discontinuity Analysis," NBER Working Papers 17112, National Bureau of Economic Research, Inc.
  8. Brian A. Jacob & Lars Lefgren, 2002. "Remedial Education and Student Achievement: A Regression-Discontinuity Analysis," NBER Working Papers 8918, National Bureau of Economic Research, Inc.
  9. Clark, Damon & See, Edward, 2011. "The impact of tougher education standards: Evidence from Florida," Economics of Education Review, Elsevier, vol. 30(6), pages 1123-1135.
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